Data Engineering · format

Apache Iceberg

Apache Iceberg is an open table format for very large analytic datasets sitting on object storage. It adds a metadata layer above the data files — snapshots, schema evolution, hidden partitioning and ACID commits — so many engines can read and write the same tables safely and consistently. Along with Delta Lake and Hudi it is one of the three open table formats that decoupled analytical storage from the engine querying it.

iceberg.apache.org/The standard

2017First published

13providers in the catalog

Also known as Iceberg, Apache Iceberg Table Format.

Providers that carry Apache Iceberg 13

These providers' own APIs.json profiles carry Apache Iceberg as a tag — the provider's statement that the standard is part of what it does. APIs.io has not verified the implementation on this page; the de facto profiles on this site are where that measurement exists. Ordered by Kin Score.

Snowflakeexemplar · 82.7 Dremio | Intelligent Lakehouse Platformexemplar · 69.4 Towerstrong · 55.4 Lakekeeperstrong · 55.3 Dremiodeveloping · 45.5 Ryftdeveloping · 42.5 RisingWavedeveloping · 39.5 Table Formatthin · 33.3 Yunqi (ClickZetta / Singdata Lakehouse)thin · 31.9 Streambasedthin · 30.2 Etleapthin · 29.2 Upsolveremerging · 16.3 Tabularminimal · 2.8

Read from the API Evangelist standards directory. Provider links come from the catalog's own identity tags and are rebuilt nightly. If this page is wrong about a standard or a provider, say so.