Connect your data
With 400+ connectors and a flexible data engine, and new support for external AI agents, Sisense helps you unlock the full value of your data, whether you connect live, cache with Elasticube, or take a hybrid approach.
Connect external AI tools with confidence
With Model Context Protocol (MCP), Sisense allows tools like ChatGPT or Claude to discover governed data models and return structured, trusted insights—no custom pipeline required. Extend analytics into any AI interface while keeping security and control in place.
Real-time insights with live connection
Harness the power of your cloud data warehouse—Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse, and more—without data duplication. Sisense’s live connections let you build semantic models directly on warehouse tables, delivering always-fresh analysis. With MCP, these governed models can also power trusted insights inside external AI tools.
Consolidate data using Elasticube
Accelerate your analytics with Sisense’s Elasticube, a high-performance analytical database built for speed and flexibility. Combine data from multiple sources, perform complex transformations, and deliver fast, AI-ready models that can be used across Sisense and external tools via MCP.
Hybrid: The best of both worlds
Get the most out of your data infrastructure with the Sisense hybrid approach. Combine the speed of Elasticube caching with the depth and flexibility of your data warehouse. With MCP support, your governed models can also power external AI agents, helping users find trusted answers wherever they work.
