How Iceberg V3 Deletion Vectors Fixed Merge-on-Read for Streaming Tables
August 04, 2026How Iceberg V3 deletion vectors replaced accumulating positional delete files and made merge-on-read viable for streaming and CDC tables.
How Iceberg V3 deletion vectors replaced accumulating positional delete files and made merge-on-read viable for streaming and CDC tables.
A field guide to the Apache Iceberg V4 proposals: adaptive metadata trees, single-file commits, typed statistics, column families, and what is safe to build on today.
Equality deletes made streaming upserts into Iceberg practical at the cost of read performance. V4 proposes retiring them in favor of deletion vectors with an async conversion path.
Fluss puts a columnar, indexed hot tier between Kafka and Iceberg. Here's what it changes structurally, what Kafka still does better, and how to benchmark the comparison yourself.
A lakehouse cannot serve sub-second queries over seconds-old data. A hot tier in front solves it, with consequences for consistency, governance, and operational surface.
Learn how to design fast, incremental compaction strategies in Apache Iceberg to support high-throughput streaming pipelines without disrupting freshness or performance.