WarpStream has introduced Tableflow, a solution for efficiently converting Kafka topic data into Iceberg tables with low latency. The article discusses the challenges of using Spark for this process, including high latency, small file issues, and the complexity of managing data lakes. It ultimately argues that relying on Kafka's tiered storage for building Iceberg tables is impractical due to various performance issues encountered in real-world scenarios.
+ iceberg
kafka ✓
data-lake ✓
spark ✓
tiered-storage ✓