lakeFS

C tier on Data Version Control ToolsScore 6.1 · #24 of 36

Android app: Not listed
Free plan: Trial only
Runs on: api, self-hosted, Web

lakefs.io

Summary

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.

Who it is for

lakeFS is aimed at data engineers, data scientists, ML engineers, and ML platform teams managing governed data workflows. It also describes use for agentic AI initiatives.

What is good

Git-like branches, commits, merges, and rollbacks track data changes.
Zero-copy branches avoid copying data and adding storage costs.
Automated hooks and human review check changes before merging.
Supports major cloud storage and on-premises object stores.
15-day trial includes Enterprise access and expert support.

What to know first

Enterprise pricing is available on request.
The listed Enterprise trial lasts 15 days.

Verdict

lakeFS combines data version control with governance, review workflows, and lineage. Teams can choose managed Cloud or self-managed deployment, but pricing requires contacting sales.

lakeFS plans and pricing

All plans

lakeFS Enterprise Not published Contact sales Managed lakeFS Cloud or self-managed deployment on-premises, in your own cloud, or air-gapped lakefs.io · 29 Sept 2026

Compared on data version control tools

Free plan: Yeslakefs.io
Deployment model: hybridlakefs.io
Metadata catalog: Yeslakefs.io
Governance controls: Yeslakefs.io
Open table formats: Yeslakefs.io
Data sharing: Yeslakefs.io

Facts

Purpose: lakeFS provides governed access to petabyte-scale multimodal data and records data changes for auditability.lakefs.io · 29 Sept 2026
Version control: Its data version control engine uses Git-like branches, commits, merges, and rollbacks.lakefs.io · 29 Sept 2026
Zero-copy branches: Branches create isolated data environments without copying data or adding storage costs.lakefs.io · 29 Sept 2026
Data quality: Write-Audit-Publish workflows use automated hooks and human review to check changes before they merge.lakefs.io · 29 Sept 2026
Reproducibility: Immutable commits, tags, and lineage tie experiments and agent actions to the data versions that produced them.lakefs.io · 29 Sept 2026
Access controls: The product page lists role-based access control, geo-based policies, data immutability, SSO, and SCIM.lakefs.io · 29 Sept 2026
Compliance: The product page states that lakeFS is SOC 2 compliant and provides audit trails and lineage.lakefs.io · 29 Sept 2026
Integrations: The integrations documentation lists tools including Spark, Trino, DuckDB, Databricks, MLflow, SageMaker, Vertex AI, Kubeflow, Airflow, and Airbyte.docs.lakefs.io · 29 Sept 2026
Storage: lakeFS supports AWS S3, Azure Blob, Google Cloud Storage, and on-premises object stores such as MinIO.lakefs.io · 29 Sept 2026
Deployment: lakeFS Enterprise can run as a managed Cloud service or be self-managed on S3-compatible infrastructure; the pricing page also lists on-premises, private cloud, and air-gapped deployment.lakefs.io · 29 Sept 2026
Trial and support: The 15-day trial offers full lakeFS Enterprise access and enterprise support from lakeFS experts.lakefs.io · 29 Sept 2026
Cloud connectivity: The pricing page says lakeFS Cloud supports AWS, Azure, and GCP, and that a private link can connect a customer's VPC to lakeFS Cloud.lakefs.io · 29 Sept 2026
Intended users: The product page describes use by data engineers, data scientists, ML engineers, ML platform teams, and agentic AI initiatives.lakefs.io · 29 Sept 2026