lakeFS

6.8easy start · #19 of 36
in Data Version Control Tools

Free to practise onnot on record
Free trialyes
Well documentedyes
Runs where you worknot on record

Runs on api, self-hosted, Web.

lakeFS is ranked #19 of 36 in data version control tools on The Geeks Club. It runs on API, Self-hosted, Web. A free trial is offered.

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: Yes
Deployment model: hybrid
Metadata catalog: Yes
Governance controls: Yes
Open table formats: Yes
Data sharing: Yes

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The record

Purpose: lakeFS provides governed access to petabyte-scale multimodal data and records data changes for auditability.
Version control: Its data version control engine uses Git-like branches, commits, merges, and rollbacks.
Zero-copy branches: Branches create isolated data environments without copying data or adding storage costs.
Data quality: Write-Audit-Publish workflows use automated hooks and human review to check changes before they merge.
Reproducibility: Immutable commits, tags, and lineage tie experiments and agent actions to the data versions that produced them.
Access controls: The product page lists role-based access control, geo-based policies, data immutability, SSO, and SCIM.
Compliance: The product page states that lakeFS is SOC 2 compliant and provides audit trails and lineage.
Integrations: The integrations documentation lists tools including Spark, Trino, DuckDB, Databricks, MLflow, SageMaker, Vertex AI, Kubeflow, Airflow, and Airbyte.
Storage: lakeFS supports AWS S3, Azure Blob, Google Cloud Storage, and on-premises object stores such as MinIO.
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.
Trial and support: The 15-day trial offers full lakeFS Enterprise access and enterprise support from lakeFS experts.
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.
Intended users: The product page describes use by data engineers, data scientists, ML engineers, ML platform teams, and agentic AI initiatives.
Founded: 2020

Where it ranks on The Geeks Club

Best Data Version Control Tools in 2026#19 of 36
Best Data Lake Software in 2026#4 of 17

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Sources

lakefs.io/product/· checked 29 Sept 2026
docs.lakefs.io/integrations/· checked 29 Sept 2026
lakefs.io/try/· checked 29 Sept 2026
lakefs.io/pricing/· checked 29 Sept 2026