Overview
Sisense is an API-first analytics platform that modernizes businesses by seamlessly integrating in-context analytics within applications, leading to action-oriented insights that enhance decision intelligence. For custom orders through private offers, proof of concepts, or custom trial terms, please reach out to your dedicated Sisense representative or email us at awssales@sisense.com
Highlights
- Differentiate your products, create new revenue streams and increase stickiness with embedded AI-powered analytics for your customers.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
Customer Success Manager: Each client is assigned a main focal point to business planning, training and other related questions. Support: Questions or assistance required after onboarding are submitted through our central ticketing systems. Online Training is available on-demand. Sisense Community: Managed forums provide clients a community to pose a question
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Standard contract
Customer reviews
Excellent for analyzing information and creating dashboards
Self-service client analytics has improved automation but still needs better performance and reliability
What is our primary use case?
My main use case for Sisense is that we typically use it as a self-service tool for our clients inside our platform, allowing our users to look at their data through Sisense and generate dashboards, reports, etc.
One specific example of how a client might use Sisense within our platform is that we would embed Sisense directly in our platform and give them access to their data through the ElastiCubes that pointed to the data in the platform, enabling users to easily browse their data.
How has it helped my organization?
Sisense has positively impacted my organization by allowing us to show data to our clients in a more effective way.
It helped reduce manual work, but the downside is that it was very buggy most of the time, requiring a lot of time to fix issues related to Sisense.
What is most valuable?
The best features Sisense offers are that it is very configurable and allows, from a DevOps or backend perspective, the ability to modify or edit almost everything directly with its API, which is very useful for controlling ElastiCubes reports.
The API flexibility made things easier for my team, as we automated almost everything; for example, creating new data sets for clients during provisioning was very straightforward, which was not the case with other tools where we had to create more workarounds for the same level of automation.
What needs improvement?
Sisense can be improved by having more documentation since it was sometimes very hard to find answers for visualizations or the computational engine, especially when creating complex formulas; usually, answers were found in the Sisense community portal.
Regarding needed improvements, performance-wise, we had a tenant with a huge database and often received errors in the visualizations due to not being able to query the model correctly, which happened almost every time.
For how long have I used the solution?
I used Sisense for around a year before we shifted to Power BI earlier this year.
What do I think about the stability of the solution?
In my experience, Sisense is not stable.
What do I think about the scalability of the solution?
Sisense's scalability was good, but we encountered a few issues.
How are customer service and support?
The customer support was good; they usually responded fast, but sometimes it was challenging because our use case was really different from other clients, making it hard to share or help them reproduce the error.
I would rate the customer support an eight.
Which solution did I use previously and why did I switch?
We switched recently to Power BI because of the infrastructure issues we were having with Sisense, and maintaining Sisense was a pain; we opted for something more reliable that users know or have more experience with.
What was our ROI?
I wouldn't be able to give you relevant metrics regarding return on investment, as I haven't seen any measurable benefits such as saving money or reducing staff hours.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing was good.
Which other solutions did I evaluate?
I don't recall evaluating other options before choosing Sisense, but I think Heap and Power BI may have been among those considered.
What other advice do I have?
On a scale of one to 10, I would rate Sisense a six.
I chose a six because of all the performance issues and bugs related to making it work correctly for users, which often left us unsure of the underlying issue, making debugging very hard.
My advice for others reading reviews on PeerSpot and looking into using Sisense is that if you don't have a multi-tenant solution, it could be a good option, but multi-tenancy can complicate things.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Easy Data Analysis and Powerful Business Insights
Straightforward Interactive Dashboards with Powerful, Embeddable Analytics
It integrates with multiple data sources and offers powerful data visualization and reporting. I also like the option to embed analytics within web applications.
Widgets and dashboards are highly customizable, with dynamic filters and drill-down functionality that make it easier to explore the data. Real-time data analysis is possible as well, depending on how the data is configured.
On top of that, it supports REST API and a JavaScript SDK, and it includes scheduled reports along with automated insights.
Advanced customization often requires JavaScript knowledge, which adds a learning curve if you’re not already familiar with it.
Troubleshooting dashboard and widget issues can also be difficult, since debugging isn’t always straightforward.
Some of the default visualizations feel limited in flexibility, which can make it harder to get exactly the presentation you want.
Manual reporting: Cuts down the need to prepare reports manually.
Lack of visibility: Improves visibility by helping businesses monitor performance through interactive dashboards.
Slow decision-making: Makes key business information easy to access quickly, supporting faster decisions.
Complex data analysis: Turns raw data into clear charts, graphs, and KPIs that are easier to understand.