lakeFS

What lakeFS is

lakeFS provides version control and governed access for petabyte-scale multimodal data, recording changes for auditability. Its engine organizes data changes through branches, commits, merges, and rollbacks, using a Git-like model. Branches create isolated environments without copying data or increasing storage costs. Write-Audit-Publish workflows combine automated checks and human review before changes merge. Immutable commits, tags, and lineage connect experiments and agent actions to the data versions they used. Listed governance controls include role-based access, geo-based policies, data immutability, SSO, and SCIM; lakeFS states that it is SOC 2 compliant and provides audit trails and lineage. Storage support includes AWS S3, Azure Blob, Google Cloud Storage, and on-premises object stores such as MinIO. Integrations include Spark, Trino, DuckDB, Databricks, MLflow, SageMaker, Vertex AI, Kubeflow, Airflow, and Airbyte. Enterprise is available as managed lakeFS Cloud or self-managed, including on-premises, private cloud, and air-gapped deployment. A 15-day trial includes Enterprise access and support from lakeFS experts. Pricing is on request.