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SPECIFICTION
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lakeFS

lakefs.io

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Spec score 7.5 #9 of 19 in Data Lake Software

What it is

lakeFS provides data version control and governance for teams working with petabyte-scale multimodal data. Its engine records changes and uses branches, commits, merges, and rollbacks to manage data versions. Branches create isolated environments without copying data or adding storage costs. Write-Audit-Publish workflows use automated hooks and human review to check changes before merging. Immutable commits, tags, and lineage connect 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 works with 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 can run as managed lakeFS Cloud or as a self-managed deployment on-premises, in a private cloud, or in an air-gapped environment. Pricing is on request, and a 15-day trial includes full Enterprise access and support from lakeFS experts.

Spec sheet

Purpose
lakeFS provides governed access to petabyte-scale multimodal data and records data changes for auditability.Read 29 Sep 2026 · lakefs.io
Intended users
The product page describes use by data engineers, data scientists, ML engineers, ML platform teams, and agentic AI initiatives.Read 29 Sep 2026 · lakefs.io
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.Read 29 Sep 2026 · lakefs.io
Integrations
The integrations documentation lists tools including Spark, Trino, DuckDB, Databricks, MLflow, SageMaker, Vertex AI, Kubeflow, Airflow, and Airbyte.Read 29 Sep 2026 · docs.lakefs.io
Compliance
The product page states that lakeFS is SOC 2 compliant and provides audit trails and lineage.Read 29 Sep 2026 · lakefs.io
Founded
2020Read 23 Sep 2026 · lakefs.io
Access controls
The product page lists role-based access control, geo-based policies, data immutability, SSO, and SCIM.Read 29 Sep 2026 · lakefs.io
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.Read 29 Sep 2026 · lakefs.io
Data quality
Write-Audit-Publish workflows use automated hooks and human review to check changes before they merge.Read 29 Sep 2026 · lakefs.io
Reproducibility
Immutable commits, tags, and lineage tie experiments and agent actions to the data versions that produced them.Read 29 Sep 2026 · lakefs.io
Storage
lakeFS supports AWS S3, Azure Blob, Google Cloud Storage, and on-premises object stores such as MinIO.Read 29 Sep 2026 · lakefs.io
Trial and support
The 15-day trial offers full lakeFS Enterprise access and enterprise support from lakeFS experts.Read 29 Sep 2026 · lakefs.io
Version control
Its data version control engine uses Git-like branches, commits, merges, and rollbacks.Read 29 Sep 2026 · lakefs.io
Zero-copy branches
Branches create isolated data environments without copying data or adding storage costs.Read 29 Sep 2026 · lakefs.io

Plans and prices

lakeFS Enterprise Priced on request Contact sales Managed lakeFS Cloud or self-managed deployment on-premises, in your own cloud, or air-gapped Read 29 Sep 2026 · lakefs.io

Every lakeFS plan and price →

Strong points and limits

Strong points

  • Branches isolate data without copying it.
  • Write-Audit-Publish combines automated checks and human review.
  • Lineage links experiments to data versions.
  • Supports cloud and on-premises object stores.
  • A 15-day trial includes Enterprise access and support.

Limits

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

Who it suits

lakeFS is aimed at data engineers, data scientists, ML engineers, ML platform teams, and agentic AI initiatives that need versioned, governed data. Its deployment options suit teams using cloud or on-premises object storage.

Verdict

lakeFS brings version control, governance, and review workflows to large-scale data. Teams should weigh its deployment options against pricing that requires a sales inquiry.

Where Specifiction places it

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