Data as of Sep 16, 2026 · Based on 3,304,368 AI responses across 10,525 prompts · See how Parse measures this
5 of 6 measured questions
Apache Iceberg is an open table format for analytic datasets that provides high-performance, scalable tables and enables cross-engine compatibility with Spark, Trino, Flink, Presto, Hive, and Impala. It supports expressive SQL, including MERGE, UPDATE, and DELETE, and features schema evolution that does not require rewriting data, along with hidden partitioning to optimize queries. It also offers time travel and rollback, and built-in data file compaction with configurable rewrite strategies to optimize layout and performance.
The market map · 5 of 100 labelled
Enterprise Cloud Storage & Data Platforms →51%positive
Where Apache Iceberg ranks in AI
moderncost-effectiveopen table formatsefficientexcellentopen table formatacid transactionshigh-performance