Apache Iceberg

Apache Iceberg is an open table format designed for large-scale analytical datasets. It provides a high-performance format that works with popular query engines like Spark, Flink, Presto, Trino, and Hive, enabling users to manage massive tables reliably. Iceberg addresses common challenges in data lakes, such as schema evolution, hidden partitioning, and concurrent writes, by offering ACID transactions and a consistent view of data. It is ideal for data engineers, data scientists, and organizations building data lakes that require robust, scalable, and performant data management capabilities. Iceberg helps users avoid data corruption, simplify data operations, and ensure data quality and consistency across various analytical workloads. Its open format nature promotes interoperability and avoids vendor lock-in.