Real-Time Analytics on Snowflake: Stream, Transform, Serve
Snowflake, Tuesday, November 3rd, 2026
Snowflake introduces a connected real-time analytics experience to stream, transform and serve fresh data across native and Iceberg tables.
Snowflake says real-time use cases, from financial services and network operations to retail and AI agents, depend on acting on data quickly.
Building real-time stacks has meant stitching together message brokers, transformation jobs and serving databases, each adding infrastructure, cost and security rules.
Snowflake is introducing a connected experience that brings connectivity, transformation and serving together across Snowflake native tables and Apache Iceberg tables.
The company says this makes real-time analytics simpler to build, cost-effective to scale and governed at each step while preserving choice of engines and tools.