The difference between Hudi and Iceberg

Apache Hudi and Apache Iceberg are open-source projects from the Apache Software Foundation that address performance challenges in big data architectures, initially developed to overcome limitations in legacy platforms like Hadoop and Hive. Hudi was created by Uber to reduce data ingestion latency from hours to minutes, while Iceberg, developed by Netflix, was designed to handle ACID transactions and schema evolution, supporting a wide range of file formats and query engines like Apache Spark and Trino. Iceberg enables time travel through its metadata-based approach, capturing snapshots of data states for historical queries and rollbacks. Its scalability and performance make Iceberg a popular choice for data lakehouses, allowing seamless integration with tools like Amazon S3, AWS services, and Snowflake. Starburst Galaxy, leveraging Iceberg, provides a unified platform for managing big data, offering features like federation, near-real-time ingestion, and advanced SQL analytics, which enhance compliance, accessibility, and performance across enterprise data systems.