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lakeFS
What lakeFS is
lakeFS provides data version control and governance for teams working with petabyte-scale multimodal data, recording changes to support auditability. Its engine uses Git-like branches, commits, merges, and rollbacks. Branches create isolated data environments without copying data or adding storage costs. Write-Audit-Publish workflows combine automated hooks with human review to check changes before merging. Immutable commits, tags, and lineage link experiments and agent actions to the data versions behind them. Listed 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. It supports 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 on-premises, in a customer's cloud, or air-gapped. A 15-day trial includes full Enterprise access and support from lakeFS experts; pricing is on request.
Who it suits
lakeFS is aimed at data engineers, data scientists, ML engineers, ML platform teams, and agentic AI initiatives that need data versioning and governance. Teams can choose managed Cloud or self-managed deployment options.
What it does well
- Zero-copy branches avoid added storage costs
- Write-Audit-Publish includes automated checks and human review
- Supports major cloud and on-premises object stores
- 15-day trial includes Enterprise access and expert support
What to know first
- Enterprise pricing is on request
- Full Enterprise trial lasts 15 days
Limits
The listed trial lasts 15 days. Enterprise pricing is on request; the facts do not describe limits for the free plan.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| lakeFS Enterprise | Contact sales · Managed lakeFS Cloud or self-managed deployment on-premises, in your own cloud, or air-gapped | On request |
As lakefs.io lists them, read 29 Sept 2026. The maker's own page has the final word.
Getting started
- Visit the lakeFS product website.
- Choose a deployment approach: managed lakeFS Cloud or self-managed Enterprise.
- For self-managed use, select on-premises, your own cloud, or an air-gapped deployment.
- Request pricing or start the 15-day Enterprise trial, which includes enterprise support.
Verdict
lakeFS combines version control, governance controls, and lineage for large-scale data workflows, with managed and self-managed deployment options. Its Enterprise pricing requires a sales inquiry, though a 15-day trial is listed.
Questions
Does lakeFS have a free plan?
Yes. lakeFS is listed as freemium and has a free plan.
How much does lakeFS Enterprise cost?
Pricing is on request, billed through Contact sales.
Is there a free trial?
Yes. The 15-day trial includes full lakeFS Enterprise access and enterprise support from lakeFS experts.
Where can lakeFS run?
Enterprise can be managed through lakeFS Cloud or self-managed on-premises, in your own cloud, or air-gapped. lakeFS Cloud supports AWS, Azure, and GCP.
Which storage services does lakeFS support?
It supports AWS S3, Azure Blob, Google Cloud Storage, and on-premises object stores such as MinIO.
Which integrations are listed?
Examples include Spark, Trino, DuckDB, Databricks, MLflow, SageMaker, Vertex AI, Kubeflow, Airflow, and Airbyte.
Facts from lakeFS's own pages
- Access controls
- The product page lists role-based access control, geo-based policies, data immutability, SSO, and SCIM. · 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
- Compliance
- The product page states that lakeFS is SOC 2 compliant and provides audit trails and lineage. · 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
- 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
- Founded
- 2020 · lakefs.io, 23 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
- 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
- Purpose
- lakeFS provides governed access to petabyte-scale multimodal data and records data changes for auditability. · 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
- Storage
- lakeFS supports AWS S3, Azure Blob, Google Cloud Storage, and on-premises object stores such as MinIO. · 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
- 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
Where lakeFS stands on Freedom251
- Data Lake Software#6 of 19
- Data Version Control Tools#19 of 36