// data-lake-management
Tools for managing, versioning, and governing data lakes.
Data lake management tools provide version control, cataloging, and governance capabilities for data stored in data lakes. As organizations accumulate vast amounts of raw and processed data in object storage systems, managing this data becomes increasingly complex. These tools bring git-like versioning, transactional guarantees, and metadata management to data lakes, enabling data engineers to safely experiment with data transformations, roll back changes, and maintain data quality at scale.
| Tool | Pricing | Rating | |
|---|---|---|---|
LA lakeFSfeatured Git-Like Data Lake Versioning | Freemium | ★ 4.5 | → |
PN Project Nessie Transactional Data Lake Catalog | Free | ★ 4.3 | → |
IL Ilumnew Data Lakehouse Platform | Freemium | ★ 3.9 | → |
FD FlightPath Datanew Data Lake Bronze Layer Gateway | Freemium | ★ 3.7 | → |
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.
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