Apache Iceberg
Open SourceFundedOpen table format for reliable, high-performance analytic datasets.
About Apache Iceberg
Apache Iceberg is an open-source table format designed to bring reliability and simplicity to managing large analytic datasets. It enables multiple query engines such as Apache Spark, Trino, Flink, Presto, Hive, and Impala to safely and concurrently work with the same data tables. Iceberg supports expressive SQL operations including merges, updates, and deletes, allowing enterprises to maintain data accuracy and consistency in complex analytic environments.
The platform offers advanced capabilities like schema evolution without requiring table rewrites, hidden partitioning for optimized query performance, and time travel features for reproducible queries and rollback to previous data states. These features make Iceberg particularly suited for large enterprises needing scalable, performant, and flexible data warehousing solutions. Its integration with cloud storage systems and catalog services further enhances its adaptability in modern data architectures.
Key Capabilities
- ✓High-performance table format for big data analytics
- ✓Support for expressive SQL including merges and updates
- ✓Schema evolution without rewriting tables
- ✓Hidden partitioning for optimized query performance
- ✓Time travel and rollback for data versioning
Integrations
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