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IBM Cloud Pak for Data and Equalum compete in data integration and analytics. IBM Cloud Pak for Data has an advantage due to better pricing and support, while Equalum is preferred for its real-time streaming and ease of integration.
Features: IBM Cloud Pak for Data includes Watson Studio for group collaboration, broad platform support, and robust AI capabilities, making it suitable for end-to-end data management. Equalum stands out in real-time data streaming, ease of integration, and fast data processing with its no-code interface and comprehensive CDC replication.
Room for Improvement: IBM Cloud Pak for Data could enhance its data streaming capabilities and simplicity in setup. Equalum may benefit from improving its customer service and expanding governance and AI capabilities similar to IBM's offerings. Both solutions could work on optimizing initial setup costs.
Ease of Deployment and Customer Service: IBM Cloud Pak for Data offers flexible deployment options including cloud, on-premise, and hybrid models, backed by strong customer service. Equalum provides agile cloud deployment with a focus on simplicity, although its customer service might not match IBM's comprehensive support.
Pricing and ROI: IBM Cloud Pak for Data offers competitive pricing with flexible licensing, typically resulting in favorable ROI due to extensive capabilities. Equalum might involve higher initial costs, but its real-time integration features can yield substantial ROI for organizations prioritizing continuous data flow.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Customer support should be more responsive and reach and respond on time.
IBM support is very supportive, and I would rate them an eight out of ten based on our long relationship with them.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in.
I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.
The setup cost is very expensive.
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data.
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.

| Company Size | Count |
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| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 4 |
| Company Size | Count |
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| Small Business | 7 |
| Large Enterprise | 13 |
Equalum EOL offers robust data replication services, focusing on CDC replication, streaming and batch ETL. It provides a user-friendly interface with no-code capabilities, integrating seamlessly with technologies like Kafka and Spark.
Equalum EOL is designed to facilitate data integration and migration processes through advanced CDC replication, streaming, and batch ETL capabilities. Its intuitive interface supports complex data processes without requiring extensive technical skills. Enhanced with automated self-healing and performance monitoring, the platform provides fast data streaming services. Equalum integrates effectively with Kafka and Spark, allowing unique functionality enhancements. The graphical interface is advantageous for users needing command-line features for workflow deployment while offering intuitive monitoring for quick issue resolution.
What are the most important features of Equalum EOL?Equalum EOL is implemented across industries for data replication tasks such as moving databases and SQL Server data to Oracle. It effectively integrates legacy and siloed data for applications, transactions, and BI dashboards, operating both on-premises and in the cloud. With features like the micro-batching of Kafka topics and transforming large XML files into Snowflake, Equalum EOL supports consultants offering SaaS and on-premises solutions, catering to real-time Change Data Capture needs in cloud environments.
IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.
Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.
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