Apache Iceberg
iceberg.apache.orgA high-performance open table format for huge analytic datasets
Data & Analyticsopen-sourcetable-formatdata-lakesqlbig-dataanalyticsapache
About
Apache Iceberg is an open-source, high-performance table format designed for large-scale analytic workloads on data lakes. It enables multiple query engines such as Spark, Trino, Flink, Presto, Hive, and Impala to safely read and write the same tables concurrently. Key features include full schema evolution, hidden partitioning, time travel, rollback, and data compaction.
Problem
Managing huge analytic tables across multiple query engines is complex, error-prone, and lacks reliability guarantees like schema evolution and ACID transactions.
For
data engineers and analysts working with large-scale analytics on data lakes
How it works
Iceberg defines a high-performance open table format with a metadata layer that tracks snapshots, partition specs, and schema history, allowing any compatible engine to read and write tables safely and efficiently.
Business model
open-source
Status
launched
Company
The Apache Software Foundation