Providing a way to “manage your data lake the way you manage your code,” LakeFS adds a layer of Git-like versioning controls to object storage. This application of Git semantics to data lets users create their own isolated, zero-copy data branches on which to work, experiment, and model analyses, without the risk of corrupting shared objects. LakeFS brings useful commit notes, metadata fields, and rollback options to your data, along with validation hooks to maintain data integrity and quality — running format and schema checks before an uncommitted branch is accidentally merged back into production. With LakeFS, the familiar techniques to manage and protect code repositories can be extended to modern data repositories like Amazon S3 and Azure Blob Storage.
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