Unify Your Data

Streambased is a unified event streaming data platform built for applications, data lakes, and AI systems. It empowers teams to quickly discover, trust, and activate streaming data with confidence and speed.

A unified platform for operational and analytical data

Streambased provides the full scope of your data to all end users. Seamlessly providing real-time data to analytical and AI applications.

It provides:

• I.S.K. (Iceberg Service for Kafka) - An Apache Iceberg view of real-time data that integrates with data lakes and other downstream processors.

• A.S.K. (Analytics Service for Kafka) - A fully distributed SQL engine that integrates with any analytics application which supports JDBC, ODBC or SQLAlchemy.

• Streambased MCP server - An implementation of Anthropic's Model Context Protocol standard to allow AI agents to access real-time data.

What sets Streambased apart is:

• No data movement - Streambased provides logical views on top of the data and does not move or store any data ahead of query time.

• Acceleration - To make views perform Streambased uses indexing techniques to massively reduce the amount of data that is required to satisfy analytical queries.

What this means you get is:

• A single source of truth - Both operational and analytical applications access the same data meaning there is no opportunity for drift or lag.

• No ETL - No data transfer ahead of query time means no pipelines to manage and evolve.

• A single point of governance - Manage permissions, lineage, schema evolution, etc. in one system and have it apply to all downstream users.