Sisense's ElastiCube data engine excels at modeling and joining large, complex datasets from various sources, delivering fast query performance. This capability significantly enhances data handling for teams working with massive datasets.
I like Sisense’s developer tooling. The Compose SDK gives me React chart components, so embedding analytics feels like writing normal frontend code instead of fighting iframes. The REST API is well documented, JWT SSO was easy to wire into our auth, and row-level data security lets us serve multi-tenant data safely from one model. Sisense saves us from building and maintaining our own charting and reporting stack, and customers can use self-service dashboards in our app, so we spend less time on one-off report requests. ElastiCube handles joins and aggregations fast, and we can automate user provisioning and dashboard deployment across environments. We can version dashboards and data models, promote them from dev to staging to prod through the API, and ship charts in a normal sprint without a separate BI team. Themes and plugins help keep the embedded UI consistent with our product. The docs and support team also helped us get the setup production-ready in a couple of weeks.
Sisense is an API-first analytics platform that modernizes businesses by seamlessly embedding in-context analytics within applications, leading to action-oriented insights that enhance decision intelligence. Established in Israel in
004, Sisense currently has locations in New York, London, and Tel Aviv, and has served over
000 customers.
