AI - Project Nessie
Empowering efficient and reliable data lake management through Project Nessie's Git-like catalog solution based on Iceberg format.
- Name
- Project Nessie -https://github.com/projectnessie/nessie
- Last Audited At
About Project Nessie
Project Nessie is a Transactional Catalog for Data Lakes, developed with Git-like semantics. It provides a platform for managing and versioning data lake metadata using the Iceberg format. Project Nessie's offerings include compatibility with various versions of Iceberg, Spark, Hive, Flink, and Presto, as well as Trino. Their mission is to make managing large-scale data lakes more efficient and reliable by offering a versioned catalog solution. They use Git-like semantics to enable rollbacks, branching, merging, and other Git operations on metadata, making it easier for users to collaborate and manage their data lake infrastructure. Project Nessie's offerings are built using open-source technologies and are available through various repositories such as Maven Central, PyPI, Quay.io Docker, and Artifact Hub. The platform is compatible with different Iceberg versions and Spark, Hive, Flink, Presto, and Trino variations, ensuring versatility and wide applicability.