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Streambased

Unifies Kafka and Iceberg into a single queryable view without data duplication, enabling real-time analytics on historical data.

streambased.ioData EngineeringJun 2024London, United Kingdom1-10Streambased Platform Limited

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
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