Data Lake Management Projects

Choose lakeFS when you need git-like branching and versioning for your data lake, enabling safe experimentation and CI/CD for data. Use Project Nessie for transactional catalog management with Apache Iceberg tables, providing multi-table transactions and time travel. Ilum is best when you need simplified Apache Spark cluster management within a data lakehouse architecture. Consider Apache Gravitino for unified metadata management across multiple data sources and catalogs.