What's New in Streamkap: 🧊 Apache Iceberg Connector

Streamkap has introduced support for writing data to Apache Iceberg, an open table format for data lakes, allowing real-time data streams to be directly stored as Iceberg tables. This integration facilitates near real-time synchronization of Iceberg tables with source database changes, reduces latency by enabling continuous data streaming, and ensures cost-efficiency through the use of open formats like Parquet and Iceberg. Iceberg's capabilities, such as ACID transactions, schema evolution, and time travel, enhance data integrity and flexibility, while the ability to query with engines like Spark, Trino, and Flink ensures broad compatibility. Streamkap captures change events from sources and writes them as immutable files to Iceberg tables, maintaining strong query performance through automatic maintenance tasks. This setup is ideal for creating real-time lakehouses and supports seamless migrations from warehouses to Iceberg, enabling operational analytics and machine learning with up-to-date data. Users are encouraged to start with small tables, utilize dual-write pipelines for migration, and monitor table optimization for optimal performance, with Streamkap offering support and guidance for effective implementation.