Apache Iceberg is an open table format that helps you manage large analytic datasets reliably across popular big data engines like Spark and Hive.
Work with huge analytic tables across engines
Apache Iceberg is an open-source table format designed to make working with massive analytic datasets easier and more reliable. With Iceberg, you can manage data as tables that feel familiar to SQL users, but are built to handle the scale and complexity of big data environments.
One of the standout features is its compatibility with popular data engines like Spark, Trino, Flink, Presto, Hive, and Impala. This means you can safely access and update the same data from different systems at the same time, without worrying about conflicts or data integrity issues. Iceberg also supports schema evolution, hidden partitioning, and advanced filtering, making it flexible for evolving analytics needs.
Whether you're a data engineer or developer working with large-scale analytics, Iceberg offers powerful tools and integrations to simplify your workflow. The website provides quickstart guides, documentation, and community resources to help you get started and make the most of your data infrastructure.
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