This article details Apache Fluss's dual-table model where LogTable handles high-throughput append-only streaming with columnar storage while PrimaryKeyTable supports real-time updates, partial merges, and CDC changelogs via integrated RocksDB state storage, sharing unified tiering and lakehouse sinking.
In July 2024 Apache Fluss received unanimous approval from the Apache Incubator IPMC and ASF board, graduating to a Top‑Level Project; the article details its community growth, core Lakestream architecture, real‑time streaming storage capabilities, adoption by major enterprises, and how it enables AI agents with fresh, unified data for real‑time decisions.
Flink Forward Asia 2024 highlighted the limitations of Kafka for real‑time analytics—lack of updates, poor data exploration, costly back‑tracking, and high network overhead—while introducing Fluss, a columnar streaming storage that offers low‑latency reads, CDC, lake‑stream integration, and efficient Delta Join for scalable, fast analytics.
