Sisense was founded in 2004 in Tel Aviv with an ambition that seemed impractical at the time: let non-technical business users analyze complex datasets without waiting for the data team. The company spent years developing its In-Chip technology, which uses CPU caching and columnar storage to crunch large datasets on modest hardware.
The platform evolved from a desktop BI tool into a full cloud analytics suite. Sisense Fusion combines traditional dashboarding with embedded analytics and AI-powered insights. The embedded analytics angle became the company’s differentiator — rather than competing head-to-head with Tableau or Power BI for standalone BI, Sisense focused on powering analytics inside other applications.
The architecture handles data preparation, analysis, and visualization in a single stack. Data engineers use the platform to build models and transformations. Business users interact through drag-and-drop dashboards and natural language queries. Developers embed interactive analytics into their SaaS products using Sisense’s API and SDK ecosystem.
Sisense raised over $300 million in funding, reaching a reported $1 billion valuation. The company serves customers across healthcare, retail, financial services, and technology sectors. Their acquisition of Periscope Data in 2019 added SQL-first analytics capabilities, appealing to more technical data teams who prefer writing queries over clicking through interfaces.
In recent years, Sisense integrated generative AI features for natural language querying and automated insight generation. The platform connects to virtually any data source — cloud warehouses, relational databases, spreadsheets, and APIs — consolidating scattered data into a single analytical layer.
