The Case for an Iceberg-Native Database
a day ago
- #Kafka
- #Data-Engineering
- #Iceberg
- WarpStream launched Tableflow, a product to convert Kafka data into Iceberg tables efficiently.
- Apache Iceberg and Delta Lake are table formats that prevent vendor lock-in by allowing multiple query engines to operate on the same data.
- The canonical solution using Spark batch jobs has issues like high latency, small files problem, and the single writer problem in Iceberg.
- Tiered storage in Kafka for Iceberg tables is problematic due to performance issues and operational complexity.
- WarpStream Tableflow is introduced as a solution to automate and simplify the creation and maintenance of Iceberg tables from Kafka data.
- Tableflow is designed to be a stateless, auto-scaling solution that avoids the pitfalls of Spark and tiered storage implementations.