

Sisense and BMC AMI Cloud Analytics offer competing solutions in the business intelligence space. While Sisense excels in pricing and rapid deployment, BMC AMI Cloud Analytics is favored for its cloud-specific advanced tools.
Features: Sisense is valued for its rapid deployment capabilities, ease of creating visually engaging dashboards, and robust support for multiple data sources through its API-first architecture. BMC AMI Cloud Analytics is noted for its powerful real-time analytics, cloud cost optimization, and centralized performance monitoring, helping with effective capacity planning.
Room for Improvement: Sisense could improve by providing advanced data management options, support for more data connectors, and enhanced customization capabilities for complex setups. BMC AMI Cloud Analytics needs to enhance user onboarding, interface customization, and facilitate easier access to insights.
Ease of Deployment and Customer Service: Sisense is praised for seamless deployment across cloud environments and exceptional customer service with responsive technical support. BMC AMI Cloud Analytics, while recognized for its performance, could improve the initial user experience and deployment process.
Pricing and ROI: Sisense is seen as cost-effective with strong ROI due to significant time savings in report generation, making it suitable for various business sizes. BMC AMI Cloud Analytics has a more complex pricing model tailored to enterprise needs, offering value through enhanced capacity planning, with specifics varying by organization.
I have seen a return on investment because it easily provided the cost splits through the tool rather than our infrastructure team trying to figure out all the components, so it saved time and money.
It makes it very easy for us to make data-driven decisions and we are able to forecast our future predicament or future plans, hence increasing or boosting productivity in my organization.
Due to the data presented to stakeholders, they are able to make informed decisions that impact the day-to-day operations of the client, giving them more insights into what's happening within their organization.
I have seen a return on investment in that we can manage the Sisense environment with a very small number of users.
The customer support for BMC AMI Cloud Analytics is very good because we have an enterprise account.
The support was very good.
We typically get responses within 24 hours.
Sisense customer support is proactive and responsive.
Sisense's scalability is impressive as it can crunch a lot more data and has consistently better performance.
It is scalable to a very large extent and we can integrate any third-party tools.
Sisense works really well for simple to medium use cases and scales well.
It would also be helpful to have more built-in guidance for interpreting analytics and configuration alerts, along with deeper integration with more enterprise monitoring IT operation tools.
It could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle.
There is no proper metrics regarding dashboards, tables, use, and workloads, effects optimization, and schema size.
I give Sisense a nine because the integration with some third-party tools is good.
My experience with pricing, setup cost, and licensing is that it is pretty easy because it is a simple installation.
My experience with pricing, setup cost, and licensing is that it is cost-effective, but for smaller organizations working under a tight budget, this tool might be a bit expensive for them.
My experience with pricing, setup cost, and licensing shows that pricing is a little bit higher when compared to other applications, but that justifies the use case.
There was no significant difference in pricing between Sisense and ThoughtSpot.
BMC AMI Cloud Analytics has positively impacted my organization with seamless integration, faster analytics, cost performance, supporting machine learning, enhanced security, and cloud flexibility.
The centralized analytics dashboard of BMC AMI Cloud has made my workflow much more efficient because it brings the key performance metrics, system health information, and historical trends into a single view.
BMC AMI Cloud Analytics has positively impacted our organization by helping us understand the cost better so that we can tune our systems, tune our database, and tune our computing capacities to reduce costs.
The in-chip methodology is very effective because it allows millions of data points to be loaded in a few seconds and processed, enabling us to make data-driven decisions through the insights gained.
It offers two ways to access data: by cubing the data or hitting it live.
It allows the user to cater to different use cases and is a very fast aggregator across different data sources, giving you the historical context and helping in operationalizing your data.
| Product | Mindshare (%) |
|---|---|
| Sisense | 5.8% |
| BMC AMI Cloud | 2.1% |
| Other | 92.1% |


| Company Size | Count |
|---|---|
| Small Business | 3 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 7 |
| Large Enterprise | 15 |
BMC AMI Cloud Analytics delivers real-time dashboards and centralized analytics, enhancing visibility and resource management. It supports cost savings and seamless cloud integration, aiding in proactive performance adjustments.
BMC AMI Cloud Analytics provides tools for real-time monitoring, anomaly detection, and centralized reporting. It enhances visibility into resources, supporting cost efficiency and performance management. Integration capabilities allow users to seamlessly connect with cloud systems. The service empowers businesses with trend analysis and data-driven decision-making, despite needing improved third-party tool integration and user interfaces. Users appreciate enhanced analytics for infrastructure performance, business intelligence, and fraud detection.
What are BMC AMI Cloud Analytics' key features?BMC AMI Cloud Analytics is utilized in industries for streamlining cloud costs, monitoring infrastructure, and analyzing PostgreSQL expenses. By visualizing trends, it aids in capacity planning and business intelligence tasks, optimizing resource usage and enhancing decision-making in enterprise environments.
Sisense enables data visualization and analytics with ease of use and fast setup, effectively integrating different data sources for efficient decision-making.
Sisense provides an intuitive platform for companies to handle data visualization and advanced analytics without requiring extensive technical knowledge. Quick deployment, custom dashboard creation, and seamless embedding are supported by an API-first approach. It allows integration of data from multiple databases, enhancing speed through in-chip methodology and real-time updates. Users benefit from its ElastiCube Manager and reduced deployment time, contributing to data-driven decisions. Comprehensive documentation supports users in navigating potential challenges.
What are the key features of Sisense?Sisense is commonly used across industries such as product development, sales, and marketing to deliver tailored analytics and dashboards for diverse departmental needs. Organizations leverage Sisense's capabilities for embedding analytics, optimizing financial models, and improving sales strategies. Its intuitive interface allows non-technical teams to efficiently handle and derive insights from large datasets.
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