Streambased
Unifies Kafka and Iceberg into a single queryable view without data duplication, enabling real-time analytics on historical data.
A platform that unifies real-time and historical data by making Kafka and Iceberg queryable together without copying data or building new pipelines. It serves data engineering, analytics, and IT teams in mid-market and enterprise companies. The platform is positioned as a zero-copy solution that eliminates the boundary between streaming and analytical systems, reducing storage duplication and operational overhead.
Key features
- Zero-copy Kafka to Iceberg projection
- Instant queryability of Kafka topics in Iceberg
- Unified governance across Kafka and Iceberg
- No pipeline or maintenance overhead
- Works with any Kafka distribution
- Plugs into Trino, Spark, DuckDB, Snowflake, Databricks
- Supports Hive, Glue, Nessie catalogs
- Instant schema evolution from Kafka to Iceberg
- LinkedIn0.2/day
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ICP
- Data analytics teams
- Engineering teams
- IT teams