BMC AMI Data Reviews

The main use case for BMC AMI Data is database performance monitoring and optimization, particularly for DB2 environments. I also use it to monitor database activity to see if performance bottlenecks are happening, analyze the workloads, and investigate issues when performance starts to degrade.

One recent example of how BMC AMI Data helped me identify and resolve a performance issue was when we were running a critical batch workload. It started taking significantly longer than its normal execution during a busy period. I used BMC AMI Data to compare the current performance with the historical runs and noticed the increased CPU utilization and DB2 wait activity. I was able to drill into the database activity and identify the DB2 object and SQL activity contributing to the slowdown. This helped us narrow down the root cause much easier and address the issue before it became a larger impact on the complete application.

BMC AMI Data has positively impacted our organization by improving our database operations, mainly by giving us visibility into the performance issues. We can directly see what the issue is and where the issue is. It has also reduced the amount of manual troubleshooting that we used to do before this. Currently we can directly identify the bottlenecks.

The improvement for us with BMC AMI Data was the reduction in the manual DBA work. We use the automation capability for the repetitive database management. The time spent has been reduced. I estimate that approximately 20% of the time has been reduced every week.

The best features of BMC AMI Data, in my opinion, are data performance monitoring and the optimization capability. Another valuable capability is that there are strong points because they reduce the repetitive DBA tasks because the automation capability is present. I value the data management and backup and recovery capability also.

One thing that stands out about BMC AMI Data's features is how closely the performance analysis and database management capabilities are integrated. Instead of using separate tools for performance monitoring and workload analysis, and also the routine DB2 administration, BMC AMI Data brings many of these capabilities together. The automation is valuable because it can reduce the repetitive DBA work.

Regarding BMC AMI Data's AI capabilities, I have a positive impression from the security perspective. The solution provides very useful visibility and control around the database operations, which is important when working with sensitive data and strict security requirements. I would still want clear governance around the access controls, audit capability, data handling, and how recommendations are generated and used.

I find BMC AMI Data's capability useful for identifying unusual patterns, and I trust it. The output is generally helpful as a starting point for an investigation, but I would not treat it as a final one because some areas still need stronger root cause accuracy. I prefer to validate the findings against the database and the workload data before I consider or take any action. Overall, I see the AI capability as useful.

I would assess BMC AMI Data's automation capability as strong. In our day-to-day work, BMC AMI Data helps us reduce the repetitive efforts. We can automate activities such as space monitoring, organization recommendations, statistic collection, performance analysis, utility scheduling, and copy and recovery management. It also allows us to monitor SQL tuning insights proactively rather than relying entirely on manual analysis. This lets the DBA team spend more time on the higher-value troubleshooting and optimization instead of repeatedly performing routine checks and maintenance tasks.

I find BMC AMI Data's analytics and intelligence features useful for turning performance data into actionable areas for investigation. Historical pattern analysis helps highlight unusual behavior. Workload and performance information helps narrow an issue down to a specific SQL, specific database object, or specific resource use. The AI-driven anomaly detection is particularly useful for identifying the patterns that might otherwise take a longer time to spot manually.

I think the area for improvement in BMC AMI Data is the user interface. It feels somewhat dated and operational heavy. A modern and very intuitive design would make it easier for the users to get started. I would prefer better dashboard customization and visualization, along with easier integration with the modern database DevOps tools and hybrid environments. There should be more detailed documentation around, and stronger end-to-end visibility across the business transactions would also make the solution more useful.

I have been using BMC AMI Data for a year now.

I would assess BMC AMI Data's reliability as strong during high-volume processing tasks. It has remained stable when we are handling heavy workloads and busy processing periods, and the performance information remains useful for monitoring and troubleshooting. We have seen occasional delays in getting the monitoring data to the console during particularly busy periods, but these have been limited and haven't significantly affected any operations. Overall, I have confidence in the utilities for demanding production workloads.

BMC AMI Data is very stable and very reliable for our database operations.

BMC AMI Data is scalable for our requirements, but it cannot scale to a much higher scale. Overall, we found it capable of handling larger workloads while maintaining reliable performance. However, it has some limitations where you cannot go beyond.

Customer support for BMC AMI Data is pretty good. I haven't had much interaction, but there are many good FAQs, and everything is mentioned on the web.

Previously, when we did not have BMC AMI Data, we mainly relied on native mainframe and database tools for monitoring and administration. I moved to this product because we wanted more centralized performance visibility, greater automation of routine analysis, and database management activities. It has been a good tool to help us monitor and troubleshoot.

From my perspective, the integration of BMC AMI Data across the mainframe ecosystem is generally good, but it isn't completely seamless from day one. During implementation, we did see some initial work around user access patterns and security permissions, and moving source code from the mainframe into Git. This required a lot of coordination with the mainframe engineering team. There were also some issues that were initially addressed, but then we had to re-issue them when we changed some configurations. The integrations became much easier to manage and provided better visibility across the environment once it was completely set up.

The built-in intelligence and algorithms of BMC AMI Data have helped us use resources more efficiently. I haven't formally measured the percentage of savings, and we have not reduced staff because of the product. The bigger benefit has been improving employee productivity and making better use of the existing infrastructure rather than achieving a specific headcount reduction.

We haven't focused much on the cost saving, but we have seen a return on investment because the work efficiency has been improved with BMC AMI Data. The quality of the data we provide has been tremendously improved. Our team is now able to reduce their workload by automating a lot of tasks that are repetitive. There has been reduced back and forth because of mistakes because we have better tools in place.

My experience with BMC AMI Data's pricing, setup cost, and licensing is positive. The initial setup cost was manageable, and the licensing was reasonable for the capabilities we were getting.

We did not formally evaluate other solutions before choosing BMC AMI Data. At the time, our focus was finding a solution that could improve our existing mainframe and the DB2 activities and monitoring. We did not formulate other options.

I would rate BMC AMI Data an 8 out of 10.

I chose eight for BMC AMI Data because the core database performance monitoring and optimization capability are strong and provide clear value in day-to-day operations. The two points I took off are mainly because there is room for improvement in the user interface. The user interface feels somewhat dated. Dashboard customization could be easier, and integrations with modern tools could be stronger. Better documentation and more intuitive navigation would also make it easier for new users to get productive and get started.

I would recommend BMC AMI Data to organizations that manage large DB2 or mainframe environments, and they need the special capabilities where they can check for the performance monitoring, check for database management, and also for the automation. Before adopting this, I would evaluate how well it fits into our existing landscape or existing mainframe tools, the existing DevOps processes, and then decide whether we need it or we don't.

On-premises

My main use case for BMC AMI Data is database management and monitoring, where I use it to help maintain data availability, troubleshoot database issues, and support reliable day-to-day operations.

Recently, I used BMC AMI Data to help investigate a database performance issue, where I reviewed the available database information to identify the possible causes and support troubleshooting. This helped me narrow down the issue and decide what to check next.

Overall, BMC AMI Data helps me support database operations and troubleshooting, and I find it useful to have better visibility into database issues to help the team investigate problems more efficiently. My experience is still growing, so I am continuing to explore these capabilities.

BMC AMI Data has positively impacted my organization by helping support database troubleshooting and day-to-day operations through improved visibility into potential issues, which can help my team investigate problems more systematically and make informed decisions.

For example, we have seen better visibility into database issues, which helps us investigate problems and resolve them more efficiently, while also helping the team avoid spending too much time on manual troubleshooting.

The best features BMC AMI Data offers, in my opinion, are database performance monitoring, troubleshooting support, and visibility into data health, which can help identify potential issues, reduce manual investigation, and support reliable database operations. My experience with the product is still developing.

I find troubleshooting support the most valuable for my team because it helps us investigate database issues and narrow down possible causes, making it easier to identify what needed attention and supporting smoother day-to-day database operations.

I also find the ability to get a clear view of a database issue useful, as it can help the team investigate a problem more systematically and support day-to-day database operations. I am still exploring the product and its other capabilities.

Automation can help reduce repetitive DBA work, such as routine monitoring and identifying potential database issues, but I have not used these automation features enough to quantify the time saved in my environment.

I use performance information to help identify potential database issues and understand whenever attention is needed, which supports proactive troubleshooting, although I cannot quantify the impact on preventing incidents.

BMC AMI Data could be improved with a simpler interface, clearer troubleshooting guidance, and more detailed reports, making it easier for a user to find the information they need and resolve database issues faster.

Better documentation with practical examples and step-by-step troubleshooting guides would be helpful, along with improved integration options and faster support response that would also make the product easier to manage.

The interface is useful for day-to-day database tasks, but I have not compared different versions closely enough to give specific examples of improvements, although a simpler workflow and clearer reporting would make the overall experience even better.

I have been using BMC AMI Data for about a year.

I have not tested the utilities extensively under high-volume workloads, so I cannot comment on their reliability from firsthand experience, but performance testing and monitoring are important to identify any potential bottlenecks during heavy processing.

BMC AMI Data has been stable in my experience and supports my day-to-day database management when needed, with no major issues encountered so far.

BMC AMI Data appears scalable for my database management needs, offering flexibility to support changing requirements as the environment grows, although I have not tested its scalability limits firsthand.

The customer support experience has been positive overall, providing responsive assistance and technical guidance that are valuable when troubleshooting database issues.

I would rate BMC AMI Data customer support as eight out of ten.

I was looking for a solution that could improve database management and troubleshooting, and BMC AMI Data offered useful capabilities for these needs, although I have not directly experienced comparing it with my previous solution.

I do not have exact ROI figures, but the solution can help reduce manual troubleshooting efforts and improve database management efficiency, meaning that over time, these benefits can save time for the team and help justify the investment.

Pricing and licensing models should be flexible enough to accommodate different organization needs, and a well-planned setup can help streamline deployment and make the solution a valuable investment for database management.

I did not evaluate any other solution before choosing BMC AMI Data.

I would rate BMC AMI Data as nine out of ten.

I chose this rating because it offers useful database troubleshooting capabilities and helps my team manage issues more effectively, although there is still room for improvements in documentation and ease of use.

Regarding BMC AMI Data's AI capabilities, I think its governance and security are important, especially when working with sensitive data information, where I look for strong access control, database protection, and transparency in how AI handles data, although I have not explored these AI capabilities in-depth to assess them fully.

I have not tested the AI features enough to judge their accuracy and reliability firsthand, but I would verify AI-generated recommendations against actual database results before relying on them for important decisions.

Integration across the mainframe ecosystem can help improve visibility and coordination between teams, although I have not personally tested integration with BMC AMI Ops, AMI Security, or DevOps pipelines enough to comment on how seamless they are.

First, I advise understanding your database requirements and evaluating the features that best fit your environment, along with testing the solution with your actual workloads and checking the integration, licensing, and support options before making a decision. My overall review rating for BMC AMI Data is nine out of ten.

Public Cloud

Microsoft Azure

My main use case for BMC AMI Data is optimizing database maintenance, reorganization, and backup processes.

I use BMC AMI Data to automate some administrative tasks related to the biological data that are being produced, which considerably reduces the team's manual work and allows us to devote more time to addressing other needs of the laboratory or the university.

BMC AMI Data allows me to work in a more proactive and organized way, and it stands out as a much more robust solution that brings confidence to the laboratory, especially to the backup and management of the data. In our laboratory, we produce a lot of data related to DNA of some organisms, and having those databases structured and organized allows us to keep them available and protected for an institution such as the Polytechnic.

A reduction of time is one concrete result; before, handling this data could take us several weeks in SQL environments or similar, but now with the automation of tasks, it is easier and takes us around one week.

Before these tasks took us around two weeks, but nowadays they take around one week or sometimes even less. In terms of time, this software has helped us optimize time and carry out tasks more efficiently, especially in the area of managing databases that are critical for academic and administrative matters.

Working in IBM Db2 and IMS environments with BMC AMI Data is very useful when managing institutional systems based on mainframe infrastructure.

BMC AMI Data is very good at automating mainframe data management tasks, allowing you to organize maintenance, reorganization, and database backup processes in a very concrete way, which considerably reduces manual working time and simultaneously allows us to devote more time to addressing other needs.

It is very important for my organization to have optimized algorithms that guarantee reliability and speed in critical environments because the data we handle are sensitive and represent data for the university that need to be reliable. At the end of the day, these are repositories we make publicly available that need to have reliable data and speed as a priority.

The experience of using the analytics and intelligence features of BMC AMI Data to obtain actionable insights is very good.

I use the solution's data management and archiving enhancements, which have helped us to have greater reliability in data storage and greater efficiency in how we manage the data and the factor of how they are stored. This means they represent less storage space than we did before, saving us space in the cloud and also for sensitive data on our servers at the school.

Regarding the artificial intelligence capabilities of BMC AMI Data, the governance and security that the tool offers is very good in that regard, as the agents it offers and the artificial intelligence integrations help a lot.

The accuracy and reliability of the results generated by the platform's artificial intelligence are excellent and reliable.

BMC AMI Data could be improved by providing a lower learning curve because I believe that if you are not related to the tech area, it is quite difficult to understand the software.

It would be beneficial to extend training sessions and especially training sessions in Spanish, because the vast majority of the content of this tool is in English, which can be an obstacle for team members who, above all, have no previous experience with mainframes and also do not have English as their native language.

The overall usability and experience improvements of BMC AMI Data have improved significantly compared to previous versions or other similar tools. What it lacks to become a ten is being a much easier tool to use because, although the dashboard is somewhat intuitive, it is still challenging for someone who does not have much experience with data.

I have been using BMC AMI Data for approximately two years.

I have experienced stability issues.

The scalability of BMC AMI Data is good, but you do need to have a moderately robust tech team to take this to larger-scale processes, meaning having a team dedicated purely to data.

I have not used technical support offered by BMC AMI Data, but I imagine it is good.

Integrating BMC AMI Data with the institutional systems of the laboratory or the institute is a bit complicated; you need a considerable learning curve.

I have seen a return on investment since starting to use BMC AMI Data, as fewer people are needed to carry out data storage and all the management due to process automation, which saves money on labor while also saving time for all of us.

The institute is in charge of managing the pricing, implementation cost, and licenses of BMC AMI Data; we do not pay for it directly in the laboratory, as the university provides it to us, and I think it reaches a balance between what it offers and what it actually costs.

BMC AMI Data offers a very organized structure in terms of data, it is very reliable, and it allows you to optimize database maintenance, reorganization, and backup processes, which considerably reduces manual working time. It also allows you to identify some performance issues and makes information recovery easier, fostering confidence in the software. At the end of the day, service continuity is often a priority in work environments, so having these types of features helps reduce operational risks, especially during periods of high activity, such as enrollments or at the end of the semester.

I rate BMC AMI Data an eight overall because it is very good software, precisely because it allows you to identify performance issues and makes information recovery easier. Even though it is a very robust software, it really becomes complicated to use if you do not clearly have a tech background or have worked with mainframes before. My advice to others considering using BMC AMI Data is that it is a dependable solution with excellent organizational structure for data management.

Hybrid Cloud

Amazon Web Services (AWS)

Our main use case for BMC AMI Data is database performance monitoring and optimization, particularly for DB2 and mainframe workloads. We want to identify slow queries, investigate batch processing delays, automate routine database administration, and improve the reliability of critical data operations.

One typical and real scenario occurred when a critical batch job was taking significantly longer than its normal execution time. Instead of manually checking multiple database metrics and logs, we used BMC AMI Data to view the database metrics and logs, collect information, and investigate DB2 activity, CPU utilization, and wait time. This helped us narrow down the bottleneck and allowed our DBA team to take correct action before the delay affected downstream applications.

Apart from this, we are not using it for anything else.

BMC AMI Data has positively impacted our organization significantly.

The visibility into database performance has made it easier to identify issues before they could affect business-critical applications, and the historical performance data helps us investigate recurring problems.

It has helped us reduce manual effort and enable faster troubleshooting. Whenever there is an issue, we can use BMC AMI Data to find the root cause, which has reduced manual effort and improved troubleshooting speed while potentially lowering CPU and storage consumption. These benefits are very valuable for an organization.

The built-in intelligence has significantly contributed to operational efficiency, particularly in performance monitoring, anomaly detection, and troubleshooting. Instead of manually reviewing logs and performance metrics, we can use historical trends and intelligent alerts to identify unusual behavior such as long-running batch jobs, DB2 performance degradation, and unexpected CPU spikes. This has helped us investigate potential issues and narrow down the root cause more quickly and efficiently. It has supported us in better resource utilization and reduced repetitive work for database administrators.

BMC AMI Data offers several main features, including database performance monitoring and optimization, automation of repetitive DBA tasks, backup recovery and data protection capabilities, and historical performance information for troubleshooting.

Performance monitoring and optimization has been the most valuable feature for our team. It has helped us identify slow SQL queries, determine which SQL query is utilizing more CPU, understand DB2 wait activity, and identify database bottlenecks. For example, when a critical batch job is taking too long, the team can compare current performance with historical runs and investigate the source of delays, which would affect downstream applications. The automation of repetitive DBA tasks is another advantage, where routine health checks, monitoring, and reporting require less manual effort. Backup recovery and data protection capabilities allow us to automate backups across multiple databases, reduce repetitive backup work, and help teams restore data during recovery or disaster recovery exercises. All these features are very valuable for our team.

Regarding governance and security, BMC AMI Data provides an enterprise environment where sensitive data and strict access controls are involved. The solution provides role-based access control, and auditing helps organizations control who can access what data and information while easily tracking administrative activity. The reporting and monitoring capabilities help teams identify unusual activity and maintain better visibility into data operations. One area I would like to see improved is transparency around AI-generated recommendations, including clearer explanations of why a recommendation was made and more control over how it is applied.

Overall, BMC AMI Data provides accurate and reliable output for database performance monitoring. We have particularly seen it identify abnormal workload patterns and highlight potential bottlenecks. For example, when one batch job was taking too long and using more CPU, the performance insights helped us narrow down the cause faster than manual investigation alone. I treat AI-generated recommendations as a starting point rather than a final decision, as we still need to validate the findings against actual database metrics and workload data before making changes. The main improvement I would like to see is better root cause accuracy and more transparency into how recommendations are generated.

With respect to automating data management tasks and reducing manual DBA workload, we typically monitor batch processing jobs in our organization. Instead of manually monitoring them, we can use BMC AMI Data to monitor each log, and whenever there is a spike or the batch processing job deviates, we can set up a trigger to send notifications. This integration has become very helpful and benefits us significantly.

We have used the AI-driven anomaly detection feature, which is one of the most important capabilities we have been impressed with. Whenever there are transaction spikes or abnormal CPU usage, the system flags them, guiding the team towards the bottleneck. This has helped us investigate issues rather than waiting for users to report them.

My impression of BMC AMI Data's high-performance utilities is very positive, as they are particularly useful when handling large DB2 workloads and needing to complete database maintenance without unnecessarily extending processing windows. Copy and load operations help with data movement and availability, while reorganize utilities help maintain database efficiency, and recovery capabilities support business continuity. The automation and scheduling features reduce manual DBA intervention, completing routine maintenance more efficiently and allowing the team to focus on performance issues instead of repetitive tasks. The actual improvement depends on the workload and configuration, so I measure it using lapse time, CPU consumption, and recovery time rather than assuming every operation will be faster.

The integration across the mainframe ecosystem is good overall, especially when connecting mainframe database operations with existing DevOps workflows. This complements both development and operations teams by enabling automation of database maintenance and performance-related tasks. With appropriate BMC AMI DevX components and pipeline configuration, teams can integrate mainframe changes into CI/CD workflows, improving coordination between development and DBA teams. The main challenge is the initial setup, particularly configuring access permissions, connecting existing source code management systems, and aligning older mainframe processes with modern Git-based workflows.

We use analytics to manage performance behavior in our databases, which helps support proactive database management. By reviewing historical performance data, CPU utilization, long-running SQL statements, workload patterns, and resource bottlenecks, we can identify potential issues before they affect business applications. For example, if a critical DB2 workload starts taking longer than usual, analytics helps us compare it with historical trends and identify contributing factors. This enables the DBA team to investigate earlier, tune queries, and improve resource utilization instead of waiting for users to report performance problems. The main benefit is faster troubleshooting, more proactive database management, and less time spent on manual performance analysis, as we still validate findings before making production changes.

We assess the solution's support for modern data and storage strategies as good, particularly for managing and optimizing mission-critical database workloads. BMC AMI Data helps us monitor database performance, analyze historical trends, identify resource bottlenecks, and automate data management tasks related to backup. This is very useful for managing growing data volumes. It improves visibility into database health and helps us make better decisions about performance and resource utilization. Its data protection and recovery capabilities also support business continuity; however, I would like to see stronger integration with modern cloud-native databases and storage platforms.

I would rate the overall usability as good, around eight out of ten, because it provides useful performance information, database management capabilities, and automation features that make daily DBA activities more efficient. The ability to identify performance bottlenecks, review historical data, and automate repetitive tasks simplifies troubleshooting compared to relying on manual checks and separate tools, improving the overall experience. Notable improvements in the user interface, dashboard customization, and navigation exist, especially for new users. Some advanced features could require additional time to learn, and clearer documentation would help our teams become productive faster. Overall, core functionality is strong, but improving usability and simplifying common workflows should enhance the experience further.

Areas for improvement include dashboard customization. We need simpler dashboard customization, clearer documentation, and more streamlined integrations with modern DevOps workflows.

I have been using BMC AMI Data for the past one year.

BMC AMI Data is stable.

Overall, I would rate BMC AMI Data's scalability around eight out of ten. It is well-suited for enterprise data management environments where transaction volumes, database objects, and processing workloads continue to grow. We were able to manage thousands of DB2 objects, high volume transactions, and monitor batch jobs 24/7 and online workloads under multiple LPARs and subsystems.

The customer support is very responsive and keen to understand what customers are facing. They really try their best to solve any issues.

I would rate the customer support as a seven.

We did not previously use any different solution.

The initial setup is somewhat complex and takes time, especially for teams that are new to the product or mainframe environments. If the workflow setup were simpler or they could provide guided configurations or clearer error messages, that would really help. There is a steep learning curve where some advanced features and automation parameters require specialized knowledge, and more hands-on tutorials, practical examples, and guided onboarding would help us reduce the learning period.

BMC AMI Data has helped us reduce 20 percent of manual effort per week and the savings in CPU and storage. Overall, we have seen positive returns from BMC AMI Data, mainly through operational efficiency and better resource utilization. One notable benefit is reduced manual DBA workload through automation of repetitive database management tasks, along with relevant reports indicating a 20 percent reduction in weekly manual DBA effort. Performance monitoring and historical analysis also support our team in identifying bottlenecks faster and reduce the time spent troubleshooting database issues.

My experience with pricing and licensing is reasonable considering the operational benefits the solution provides. The initial setup cost was relatively low when the required mainframe infrastructure and supporting components were already in place. However, a few configurations, integrations, and specialist training still require effort. Licensing mainly depends on the specific data products and capabilities selected, so I recommend evaluating required modules carefully rather than purchasing the entire suite upfront.

We did not conduct any formal evaluation of multiple competing products, but our main priority was to improve database performance monitoring, automate repetitive DBA activities, and optimize our existing mainframe and DB2 environment. BMC AMI Data aligned with these requirements and through its database management utilities, performance analytics, and automation capabilities, we reached out to them. Alternatively, we could have also considered IBM database management tools and Broadcom database solutions, but since we were experienced in these areas, we chose BMC AMI Data.

I would rate BMC AMI Data an eight out of ten because of its core capabilities that deliver real operational value to the organization. The performance monitoring and optimization help identify database bottlenecks, troubleshoot issues faster, and reduce repetitive DBA work while providing useful reporting and supporting reliable data operations. The two points I deduct are mainly for the user experience and the integration flexibility. The interface and dashboard customization could be more intuitive, and integrations with modern DevOps tools and end-to-end business transaction tracing could be stronger and better.

BMC AMI Data is primarily associated with enterprise mainframe environments, often running on IBM's z/OS. The deployment model depends on which product we would be using, but generally, we prefer a hybrid cloud, which is a mixture of both private and public cloud.

We use Azure for our deployments and handling multiple services, along with IBM's z/OS to support various platforms.

Before choosing or opting for any solution in the market, organizations should assess their requirements and what the solution provides. If both align, they can proceed. Additionally, the pricing point is crucial as it significantly affects ROI; evaluating how much is invested and what the return is from having this product utilized in the organization is very important.

Hybrid Cloud

Microsoft Azure

I use BMC AMI Data for detecting abnormal batch behavior, finding DB2 deadlocks, intelligent alert correlation, production support automation, mainframe performance monitoring, capacity planning, AI-based anomaly detection, faster root cause analysis, developer productivity, and finding audit compliance and change tracking.

I primarily use BMC AMI Data for mainframe performance monitoring. In real time, I gain visibility of CICS regions, MQs, DB2 threads, CPU usage, storage, JES initiators, and long running jobs. Our batch processes used to run longer during the nights, so for better monitoring purposes, we implemented this solution. We also experience peak hours during that time. We depend on the CICS regions and ensure they are up and running. Due to the holiday season, this solution helped us process bulk orders without any issues.

Another main use case for me is detecting abnormal batch behaviors. Some jobs were running more than three hours long, some jobs were processing duplicates, and some were creating routes with delays. I compared current execution versus historical patterns using BMC AMI Data and identified unusual CPU and I/O and wait spikes. Additionally, I was able to identify a DB2 object that was causing the slowdown. I was able to find the root cause in minutes instead of hours.

I have used BMC AMI Data many times in my company for day-to-day DB2 data management activities to reduce manual DBA efforts, including space monitoring, reorg recommendations, statistics collection, performance analysis, utility scheduling, and copy and recovery management. SQL tuning insights can also be automated proactively and monitored instead of relying on manual analysis.

With AI-driven anomaly detection, I was able to analyze historical operational patterns and identify abnormal behavior such as sudden batch time runtime increases, unusual DB2 locking and deadlocks, abnormal CICS transaction spikes, unexpected MQ queue buildups, CPU anomalies, and repeating job failures. This helped my operations and support teams detect these issues earlier, reduce the outage impact, and accelerate root cause analysis before business users are affected.

BMC AMI Data's best feature is AI-based anomaly detection. This is one of the strongest features because it can automatically detect abnormal batch runtimes, unusual CICS behavior, DB2 performance degradation, sudden MQ spikes, and storage and CPU anomalies. These capabilities are very useful for my users before issues are noticed. The second valuable feature is glass monitoring. Instead of checking JES, CA7, DB2, and MQ separately, BMC AMI Data provides centralized operational visibility. This is providing significant benefits for my production support teams, command centers, incident managers, and architects. Since I am using it for intelligent event correlation, instead of generating one hundred alerts, BMC AMI Data correlates all the related failures into one incident chain, reducing alert fatigue significantly. It is also helping me find real-time DB2 performance analysis. I am able to automate jobs, suppress alerts, and automate ticket generation with recovery reaching threshold every time I maintain.

My team found predictive analytics to be valuable. Using BMC AMI Data, I am able to identify trends, growth patterns, capacity risks, and recurring failures. With this capability, I am able to plan modernization effectively and prepare for peak season while maintaining scalability properly. Additionally, I am able to integrate modern features including Git integration, pipeline visibility, deployment tracking, automated testing support, and change intelligence. It is helping me modernize the CI/CD features in my system.

I have reduced a lot of incident failures since using BMC AMI Data. I am able to see a significant improvement in CICS transactional response times and overall region health. Additionally, I am able to stop storage violations and transactional bottlenecks that I faced earlier. I used to have task buildups, but I have stopped them. This improvement is very visible in my high-volume real-time environments.

BMC AMI Data monitors technical components very well, but end-to-end business transaction tracing is still limited. For instance, the flow of business transactions from order creation to generation of the ASN is limited. I would say it would be great if cross-system business flow visibility were improved. Moreover, I would say stronger AI root cause accuracy is needed. Current AI capabilities are useful but still heavily rule-based in many environments. I would also suggest having a somewhat easier UI for better user experience, as it remains operational heavy, menu-driven, and less intuitive for new engineers. Cleaner dashboards, drill-down visualizations, interactive topology maps, and easier search or filtering would be beneficial. Additionally, better cloud and hybrid visibility along with native event-driven monitoring would improve the solution.

I feel there are still some features that need improvement. Particularly, business cross-functional visibility and cross-systems visibility need enhancement.

I have been using BMC AMI Data for twenty-four months.

BMC AMI Data is stable. The reliability during high-volume processing tasks holds up well under pressure. There were some times when the batch volume and batch processing in CICS regions were both busy, and getting data to the BMC AMI Data console took time, but this was very limited. Everything else is working well.

BMC AMI Data is good from a data scalability perspective.

The customer support is good. With BMC AMI Data, I am able to manage thousands of DB2 objects, massive transaction volumes, twenty-four seven batch and online workloads, multiple LPARs, and subsystems in hybrid integration environments. From a customer support perspective, I am getting good responses. As soon as I raise a case, they are able to solve it. I would rate the customer support of BMC AMI Data as a nine.

I did not use any other solution. This is the first time I am using BMC AMI Data. Earlier, I was using mainframe inbuilt tools.

Initially, the pricing, setup cost, and licensing were good, but later on, they seem to be increasing. However, as of now, it remains manageable.

When it comes to integration across my mainframe ecosystem, specifically with BMC AMI Ops, AMI Security, and DevOps pipelines, I was able to find it out. I had to work a lot with mainframe engineers to set up user access patterns on the security side. Initially, I faced some access issues for some users, but later I fixed them. From a DevOps perspective, there were some initial challenges to move the source code from mainframe to Git; initially, there were objections, but later I resolved those issues.

Employee productivity has increased. On the employee side, I did not reduce staff, but I saved some money on CPU utilization and storage. I got some return on investment.

I did not evaluate any other options. This is the one I went through.

I would tell others looking into using BMC AMI Data that they will get a return on what they invest. It is helpful and will help maintain a healthy system. I rate this product a nine overall.

On-premises

Our main use case for BMC AMI Data is to manage and optimize our database environment, mainly DB2. We use it for database performance tracking, data management, data monitoring, and automating some parts of the database.

A very recent example of how we used BMC AMI Data for database performance tracking involved noticing that our database workload was taking longer than normal during a very busy period. We used BMC AMI Data to examine the database activity and identify where the performance issue was coming from. This helped us find the problem faster than before and make the required changes before it became a bigger issue.

The best features BMC AMI Data offers are for data performance monitoring and data management. I would also like to add the automation part, and the data recovery and backup capabilities are very good.

The biggest difference in BMC AMI Data is the database performance and optimization capability that has made a very significant difference in our system. These features help us identify very efficiently which work, which table, and which area is making issues, allowing us to focus on the bigger parts now.

I would also like to mention very precisely the automation part of BMC AMI Data. It reduces some of our repetitive tasks in the DB and operations team that they would otherwise have to do manually. Because of this automation part, it helps us very precisely.

Security and data protection are very important for us because we are working with companies that have very strict data policies. BMC AMI Data provides the control and visibility we need to manage this type of environment responsibly.

BMC AMI Data has been very reliable. The performance information and the reports give us very useful and informative insights. When we investigate any database issue, it gives us very reliable options and solutions.

I would like BMC AMI Data to have a modern user interface. We require a modern UI and easier dashboard optimization. Right now we have a good UI, but better integration with modern databases and DevOps tools is needed.

Overall support for BMC AMI Data is very good. Documentation still can be better.

I have been using BMC AMI Data for more than six months.

BMC AMI Data is very reliable. Currently, it handles 90 percent of our data, which is very private, very secure, and very reliable. It manages big data and high-volume tasks effectively and is very useful.

BMC AMI Data is very stable and scalable. Earlier, we used it for one client, but right now, it handles 90 percent of our clients.

Overall support for BMC AMI Data is very good. Documentation still can be better.

The customer support for BMC AMI Data is very good. They are very helpful and knowledgeable. I would like to mention that earlier, we faced an issue, and they helped us effectively.

We have not evaluated any other options before choosing BMC AMI Data.

The setup cost for BMC AMI Data is very low, and the pricing and licensing are much less compared to doing everything manually. The costs are very minimal.

In terms of return on investment, time and money are the biggest benefits after using BMC AMI Data. We have never used this type of tool before; BMC AMI Data is the first tool we are using.

The setup cost for BMC AMI Data is very low, and the pricing and licensing are much less compared to doing everything manually. The costs are very minimal.

We have not evaluated any other options before choosing BMC AMI Data.

If you are looking into using BMC AMI Data, my advice is that if you are searching for data privacy, this tool is very helpful for any company looking for data security and visibility while working with data. It is the best product. I would rate this product an 8.

On-premises

My primary use case for BMC AMI Data is application performance monitoring and troubleshooting. I use it to analyze transaction behavior, identify performance bottlenecks, monitor system health, and quickly diagnose issues before they impact end users.

It also helps me with capacity planning, trend analysis, and generating operational reports, giving better visibility into overall mainframe performance and application efficiency.

One instance that stands out was when one of our critical batch jobs started taking much longer than usual to complete after a deployment. Using BMC AMI Data, I compared the performance metrics with previous runs and noticed a significant increase in CPU utilization and DB2 wait times for a particular transaction. That helped me narrow the issue down to an inefficient SQL query introduced in the latest release. After the deployment team optimized the query and added the appropriate job execution, time dropped back to normal. Without the insight from BMC AMI Data, it would have taken much longer to isolate the root cause.

The best features of BMC AMI Data is the level of visibility it provides into mainframe performance. The real-time monitoring and detailed performance metrics make it much easier to identify bottlenecks before they become major issues. I also found the SQL performance analysis very useful. It helped me to pinpoint inefficient queries and reduce CPU consumption. Another feature I really appreciate is the automation around routine database administration tasks, which saves a lot of manual effort and reduces the chance of human error. The reporting and historical analysis are also very valuable for capacity planning and identifying performance trends. Overall, it gives a good balance of monitoring, diagnostics, and automation, making day-to-day management much more efficient.

The automation has definitely reduced the amount of manual work my team has to do on a daily basis. Before using BMC AMI Data, we spent a lot of time manually checking system performance, reviewing logs, and investigating alerts whenever there was a shutdown or slowdown. Now, many of those monitoring and reporting tasks are automated. We are notified much earlier when something needs attention. One example in our daily health check is that what used to take around thirty to forty-five minutes of manual effort can now be reviewed in just a few minutes because the relevant performance data and reports are already available. It also helps me to identify recurring issues through historical trends instead of reacting only after users report a problem. The automation has allowed my team to spend less time on routine monitoring and more time on optimization and higher priority projects. It also reduced the chances of missing critical performance issues because the monitoring is much more proactive than my previous manual process.

BMC AMI Data has had a positive impact on my organization by improving the visibility and reliability of our mainframe. We can identify performance issues much earlier, which has significantly reduced the time spent on troubleshooting and minimized the impact on business-critical applications. The detailed performance insights have also helped me to optimize resource utilization, resulting in more stable system performance during peak workload.

I have had a good experience but there are a few improvements. The user interface feels a bit outdated compared to modern monitoring tools. A more customizable dashboard would make it easier to navigate and find key metrics. I also think the initial setup and configuration could be simplified, especially for terms that are new to the product. Another area for improvement is that while the data is comprehensive, creating custom reports sometimes requires extra effort.

I have been using BMC AMI Data for five months.

Despite those limitations, it's a solid product that delivers consistent value. I rate BMC AMI Data an eight out of ten. From what I have seen, BMC AMI Data takes governance and security seriously, which is important when working with sensitive mainframe data. The role-based access controls and auditing capabilities give me confidence that only authorized users can access information. It is easier to track administrative access for compliance purposes. As for the AI capabilities, I think they are useful as long as they are transparent and operate within the organization's existing security and governance policy. I would appreciate more visibility into how AI-generated recommendations are produced and more control over how they are implemented. Overall, I feel the governance and security foundation is strong, but additional transparency around AI-driven insights could make the solution even more trustworthy.

The accuracy and reliability of BMC AMI Data's AI capabilities are good. I have found the AI recommendations to be reliable, especially for identifying performance trends and highlighting potential issues before they become critical. It is particularly good at spotting unusual spikes in CPU usage, long-running transactions, or resource bottlenecks that might not be obvious during routine monitoring. In a few cases, it helped me narrow down the likely root cause much faster than manually analyzing performance, which reduced the time to resolve the issue.

I would rate BMC AMI Data highly when it comes to reducing the manual workload for DBAs. A lot of routine monitoring, performance analysis, and health checks that I used to do manually are now either automated or much easier to manage through the platform. Instead of spending time collecting performance metrics from multiple sources, I can access the information from a single place and focus on resolving the issue rather than finding it. For example, I used to do manual reviews of database performance reports every morning to look for unusual CPU usage, long-running SQL statements, or storage issues. With BMC AMI Data, those metrics are continuously monitored, and I receive alerts when predefined thresholds are exceeded. This has significantly reduced the time spent on routine checks and allowed me to prioritize only the systems that actually need attention.

The integration has been fairly seamless overall. I use BMC AMI Data alongside other BMC AMI products, and they work well together because they share the performance and operational data across the mainframe environment. For example, when BMC AMI Ops identifies a performance issue or resource bottleneck, I can use BMC AMI Data to drill into the database and SQL-level metrics to find the root cause much more easily. I am used to those tools; they complement each other. I do not need to switch between solutions. From a security perspective, integration with BMC AMI Security ensures that access to performance data is controlled.

From my experience, the built-in intelligence has contributed more to organizational efficiency than distinct cost savings, but the overall impact has been significant. By identifying insufficient SQL queries, highlighting abnormal usage, and providing early warnings about performance issues, I have been able to optimize CPU utilization and reduce the time spent on troubleshooting.

Analytics and intelligence features are good for surfacing actionable insights. I use analytics to manage performance behavior in my databases. The analytics helps me to detect upcoming issues rather than waiting for users to report slow response times. One of the biggest benefits has been proactive database management. For example, I noticed a steady increase in response times for a critical application over several weeks. The analytics highlighted a small group of SQL queries that were consuming more resources than usual. After reviewing and optimizing those queries, performance returned to normal.

The support for modern data and storage strategies in my organization is good. My advice would be to invest some time in understanding BMC AMI Data's capabilities instead of just using it solely as a monitoring tool. BMC AMI Data provides a lot of valuable performance insight, and I get the most benefit when I configure meaningful alerts, review historical trends, and make use of its analytics for performance tuning rather than just responding to incidents. I would also recommend involving both your DBA and operations teams during implementation. When everyone is using the same performance data and dashboards, troubleshooting becomes much faster, and collaboration improves. It's also worth spending time customizing the thresholds and reports to match your environment instead of relying solely on the default settings.

Public Cloud

Other

My main use case for BMC AMI Data is to monitor the data and the workflow for the compliance and reporting part, auditing and all.

For compliance or auditing, BMC AMI Data diagnoses and resolves the problems, summarizes, and gives me a proper report. Since my industry is under banking and finance, the reporting should be in a proper manner. It manages the data, which actually protects and optimizes it and provides me the output according to it.

I do not have anything else to add about my main use case or how BMC AMI Data fits into my daily workflow.

The best features BMC AMI Data offers include database management, storage management, performance monitoring, and data protections, along with the reporting part.

I rely most on the data protection feature of BMC AMI Data because the data is very crucial in my sector. It helps to back up and recover the data, as well as create a disaster recovery plan. In case of any crash or report, I can directly take the backup from the DR department.

BMC AMI Data has positively impacted my organization as the data's performance is faster, reduced the storage cost through optimization, automatically diagnosed the problems, and resolved them accordingly. It's also better for compliance and regulatory requirements.

Regarding storage cost reduction, it is much faster, but in terms of costing and all, that was what I heard from my manager.

I think there is nothing to be improved in BMC AMI Data, but I believe from the customer service point of view, it should be more convenient rather than mailing and waiting for twenty-four hours to get a response. If they had telephonic support, it would be much more helpful for us.

I do not want to add more about the needed improvements.

I have been working in my current field for three years.

BMC AMI Data is stable.

The scalability of BMC AMI Data is very good.

I would say the customer support is fine, not too bad.

I have seen a return on investment, as time is being saved, and from the engineer's point of view, it's definitely a return on investment.

My experience with pricing, setup cost, and licensing for BMC AMI Data was fine, but those aspects were managed by the management.

Before choosing BMC AMI Data, we did not evaluate other options.

My advice to others looking into using BMC AMI Data is to definitely suggest trying it out once to get an idea about how it works and performs.

The reliability of BMC AMI Data's industry-leading utilities during high-volume processing tasks is very good, especially for crucial industries like banking and finance. The high-volume data transfers to DBA are performed daily, and it provides clarity on a single dashboard where all data flows, including critical and optional data.

The experience of using BMC AMI Data's analytics and intelligence features for surfacing actionable insights is very good as they automatically provide information about the data being performed, showing transparency in the environment.

From my perspective, the integration across the mainframe ecosystem, specifically with BMC AMI Ops, AMI Security, and DevOps pipelines, is good. The integration is quite fine and reliable, and anyone can manage it.

The built-in intelligence algorithms contribute fairly to cost optimization and resource efficiency, but I am not aware of the exact cost since that is handled by the management team.

Regarding BMC AMI Data's AI capabilities, its governance and security are far more useful and great. The reporting part really helps me monitor data, the crucial data being used by the users. I can monitor it and act accordingly if any suspicious activity comes up.

Regarding BMC AMI Data's AI capabilities, the accuracy is quite good, but the AI improvements need a little bit of enhancement. Apart from that, overall it's fine.

I would rate this product an eight out of ten.

On-premises

BMC AMI Data is used to manage and work with enterprise data more efficiently, helping monitor data, improve data access, and support day-to-day database operations, with a main focus on making data management easier and keeping data processes reliable.

One example of how BMC AMI Data made data management or reliability tasks easier was when investigating a data-related issue, as it helped gain better visibility into the data environment and identify issues that needed attention, making troubleshooting easier and helping the team work more efficiently, ultimately being useful for improving data management and reliability processes.

BMC AMI Data is also used to improve data visibility and make daily tasks easier, as it helps the team identify issues, manage data more effectively, and reduce manual effort, supporting a smoother and more reliable workflow overall.

Since starting to use BMC AMI Data, it has been easier to monitor data performance and troubleshoot issues, helping identify problems faster and reduce some manual efforts, ultimately improving daily workflow and making data management more efficient, although exact improvements have not been measured yet and the experience has been positive so far.

Troubleshooting is somewhat easier, as the team spends less time checking issues manually, with the tools helping identify possible problems faster so focus can be placed on fixing them instead of spending excessive time finding the root cause, though an exact time-saving figure cannot be provided and the overall workflow feels more efficient.

BMC AMI Data has reduced some manual work by making data monitoring and troubleshooting easier, helping the team identify issues faster and spend less time on routine checks, though not all of its automation features have been explored in depth, so an exact figure for how much DBA workload has been reduced cannot be provided.

The best features of BMC AMI Data are data monitoring, performance analysis, and troubleshooting support, which help identify issues faster and manage data more efficiently, ultimately improving visibility and making daily work easier.

The performance analysis and troubleshooting support features of BMC AMI Data help spot unusual activity and understand where an issue may be occurring, and when a problem arises, the troubleshooting tools narrow down the cause instead of checking everything manually, saving time, making problem-solving easier, and helping the team keep data operations running smoothly.

BMC AMI Data helps manage complex data tasks efficiently, as the tools are useful for identifying issues early and reducing manual work, and since using it for a few months, it has been helpful for improving the team's daily workflow.

Regarding BMC AMI Data's AI capabilities, security is important when handling business data, focusing on proper access controls and following company security policies, though since using it for only four to six months, not all of its AI capabilities have been explored in depth, leading to the belief that security is a key consideration and more hands-on experience would be needed to evaluate its AI governance features fully.

With BMC AMI Data's AI capabilities, in the experience so far, the platform has been useful for data management tasks, but its AI capabilities have not been explored deeply enough to fully judge their accuracy, so for regular work, reliability and consistent results are important, leading to always verifying critical outputs before making decisions.

The support for modern data and storage strategies in the organization looks useful, though not all of these capabilities have been explored in depth, with experience mainly being on data management and troubleshooting, requiring more hands-on experience with cloud integrations, hybrid environments, and newer storage technologies for a fair assessment.

The analytics features of BMC AMI Data are useful for understanding data performance and identifying areas that need attention, helping teams spot potential issues and make better decisions based on available information, although since using it for the last four to six months, not all of its analytics features have been explored in depth yet.

From experience, the integration across the mainframe ecosystem, specifically with BMC AMI Ops, AMI Security, and DevOps pipelines looks useful, but not all of these components have been worked with directly, as focus has mainly been on data management and troubleshooting, and better integration with BMC AMI Data, AMI Security, and DevOps pipelines could help teams manage operations more smoothly and reduce manual work.

The AI-driven anomaly detection feature has not been used extensively, so its effectiveness cannot be fully judged, though early detection of unusual activity is valuable because it helps teams identify potential issues before they become bigger problems, and exploring this feature more would be beneficial to see how well it works in real-world situations.

Analytics are used to manage performance behavior in databases, helping understand database performance and identify potential issues, with it assisting in monitoring performance, spotting unusual behavior, and troubleshooting problems, though advanced analytics features are still being explored and so far they have been useful for understanding database performance.

The impression of BMC AMI Data's high-performance utilities in accelerating data processes like copy, load, reorganize, and recovery is positive so far, as these utilities can help speed up data operations, while not all of these features have been tested in depth, exploring them more would be beneficial to better understand their impact on processing speed and reliability.

Work has mainly focused on data management and troubleshooting, meaning BMC AMI Data's data handling and archiving enhancements have not been explored in depth, though better data handling and archiving can help improve storage efficiency and make data easier to manage while requiring more hands-on experience to assess their impact on the hybrid infrastructure.

BMC AMI Data could improve by making the interface easier to navigate and providing clearer error messages, as better documentation and more practical troubleshooting guides would help solve problems faster, making daily work simpler and more efficient overall.

Better automation for daily routines and more customizable dashboards would be appreciated, as clearer alerts for when something goes wrong would also be helpful so the team can respond quickly, with these improvements potentially saving time and making the overall experience smoother.

Another improvement would be better integration with other data management tools and more detailed reporting, as simpler setup guides and faster troubleshooting support would also be helpful, making BMC AMI Data easier to use and helping teams work more efficiently.

The overall usability of BMC AMI Data is rated a seven out of ten, as the platform is useful for data management and troubleshooting, but some areas could be more user-friendly, though since using it for only four to six months, not enough comparison of previous versions has been done to judge the improvement.

BMC AMI Data has been used for the last four to six months as part of the business.

In the experience so far, BMC AMI Data has been useful for regular data management tasks, though it has not been tested extensively under very high-volume processing, so performance with large data loads cannot be commented on in detail, but thus far it has been useful for monitoring and troubleshooting, requiring more hands-on experience to assess its reliability under a heavy workload.

BMC AMI Data is stable.

BMC AMI Data's support team has not contacted directly, so response time cannot be commented on, as reliance has been on available documentation and technical resources, requiring more hands-on experience with their support to provide a better assessment.

A different solution was not worked on before BMC AMI Data.

In the organization, BMC AMI Data is used within the existing data environment to support data management and monitoring, though not being directly involved in its deployment setup means it cannot be confirmed whether it is hosted on a public cloud, a private cloud, or on-premises infrastructure.

The built-in intelligence of BMC AMI Data has been helpful in identifying issues and improving the data management workflow, which can reduce manual effort and make better use of available resources, although the exact cost savings or efficiency improvements have not been measured yet since the solution has only been used for four to six months.

Some benefits have been seen from using BMC AMI Data in terms of reduced manual effort and easier troubleshooting, which helps the team save time on routine tasks and focus on other important work, though the exact return on investment or specific cost savings have not been calculated yet, as the solution has been used for just four to six months.

Direct involvement in pricing and licensing decisions has not occurred, so the exact cost cannot be commented on, but from the perspective available, the main considerations include the licensing fees, setup effort, and ongoing maintenance costs, and it would be recommended to review the pricing plans carefully to ensure they fit the company's needs and budget.

Direct involvement in the vendor selection process did not occur, so the exact alternatives that were evaluated are not known, though the main focus was finding a reliable solution for data management, performance monitoring, and troubleshooting.

BMC AMI Data is given an eight out of ten, as it helps monitor data performance, troubleshoot issues, and manage daily tasks more efficiently, though improvements could be made to the interface, automation, and documentation.

An eight was chosen because BMC AMI Data has been useful for monitoring performance and troubleshooting issues, helping make daily work easier and reducing some manual efforts, but a ten is not being given because the interface, automation, and documentation could be better, with the experience over the last few months being positive.

It is very important to have optimized algorithms that ensure reliability and speed in mission-critical environments, as data operations need to be reliable and fast, with optimized algorithms helping reduce processing time, avoid delays, and maintain data accuracy, since even small delays can affect business operations and performance and reliability are key priorities.

The advice to others looking into using BMC AMI Data is to first understand the team's data management needs and test the features most relevant to the work, while spending time exploring the monitoring and troubleshooting tools, ensuring they fit into the existing workflow and reviewing the pricing and training requirements before making a decision.

BMC AMI Data is primarily used to increase data resiliency and availability, with the main focus on automating backup and recovery for business continuity.

We had multiple databases across multiple servers and critical backups required for all databases. This has been automated so that backups are taken automatically, and whenever restoration is required, the automated process handles that as well. During DR and BCP scenarios, the restoration is used for testing.

BMC AMI Data enabled automation of everything required from day one. No manual backups were taken, and as soon as new servers and databases were spun up, automation was set up from day one.

The best features of BMC AMI Data are automated backups and recovery, and during business continuity, restoration was easy to implement.

These automated backup and recovery features work reliably and are easy to use for the team. The backup process was straightforward, and backup and recovery operations were simple to execute.

BMC AMI Data has positively impacted the organization because it saved time and reduced errors. Since multiple servers require backups, the backup process is very easy. Monitoring is straightforward, and if any backup fails, fixes can be implemented very easily.

BMC AMI Data could be improved in backup timing, as it should be faster compared to the current situation.

I have been working in this field for 16 years.

BMC AMI Data is stable.

BMC AMI Data's scalability is good, and it is very easy to scale up or scale down.

My experience with customer support is good, and the customer support is satisfactory.

A couple of backup solutions were used before BMC AMI Data, but they are not remembered at this moment.

The integration across the mainframe ecosystem, specifically with BMC AMI Ops, AMI Security, and DevOps pipelines, was easy to implement. DevOps integration was very straightforward.

A return on investment has been seen through time saved.

My experience with pricing, setup cost, and licensing for BMC AMI Data is good, and the pricing is favorable.

I was not involved in evaluating other options before choosing BMC AMI Data, as this tool was present in the organization when I joined.

BMC AMI Data is a good tool, and others looking into using it should try it, conduct a POC, and proceed if it suits their use case.

BMC AMI Data is very critical for the organization because all backups and related operations rely upon this tool. It is important for the organization to optimize backup timing and everything to automate, thereby reducing the time during high-volume processing tasks.

I gave this review a rating of 10.

On-premises