Favicon of Apache Iceberg

Apache Iceberg

PublishedLast updated

Apache Iceberg is a high-performance open table format enabling multi-engine analytics with schema evolution, time travel, and hidden partitioning.

Screenshot of Apache Iceberg website

Sources

github.com

Verified against the apache/iceberg repository and the PyPI package.

Apache Iceberg is a high-performance, open table format that brings the reliability of SQL tables to petabyte-scale analytic datasets.

Key Features:

  • Multi-Engine Support - Query the same tables safely from Spark, Trino, Flink, Presto, and Hive simultaneously.
  • Hidden Partitioning - Skip unnecessary partitions automatically without extra query filters.
  • Schema Evolution - Add, rename, and reorder columns without rewriting your tables.
  • Time Travel - Query historical snapshots and roll back to previous table versions instantly.
  • Expressive SQL - Merge, update, and delete rows with flexible SQL commands and delta support.
  • Industry Adopted - Trusted by Netflix, Airbnb, and thousands of production environments.

Whether you're building a data lakehouse, running large-scale analytics, or unifying batch and stream pipelines, Apache Iceberg provides a reliable open table format.

Features:
Open SourceBatch ProcessingReal-Time StreamingMulti-Engine SupportHidden PartitioningSchema EvolutionTime Travel

Share:

Similar to Apache Iceberg

Favicon

 

  
  
Favicon

 

  
  
Favicon