LakeFS

Data Management

LakeFS is an open-source project hosted on GitHub under the treeverse organization, providing a version control layer for data lakes.

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LakeFS gives data lakes Git-like version control, letting teams branch, commit, merge, and roll back data changes.

LakeFS is an open-source project hosted on GitHub under the treeverse organization, providing a version control layer for data lakes. It allows users to manage data with Git-like semantics, including branching, committing, merging, and reverting, directly on object stores such as S3, GCS, and Azure Blob. The project has accumulated 5.4k stars and over 6,500 commits as of late May 2026, indicating active community development.

LakeFS is developed by Treeverse, an Israeli startup. The company has not publicly disclosed funding rounds, revenue, or headcount in the provided research dossier. Its market position is as a specialized tool for data engineering teams that need to manage data versioning and experimentation in data lakes, competing with approaches like Delta Lake and Apache Iceberg.

The project is dual-licensed under an Apache 2.0 open-source license for the community edition, with an enterprise edition that adds RBAC, SSO, and other features. The company's financial trajectory is not documented in the dossier, and no recent funding or revenue figures are available. What is notable now is the project's continued development pace and the recent cleanup of the OpenAPI specification to remove unimplemented enterprise-only endpoints, clarifying the boundary between community and paid tiers.

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Who buys this

  • Data engineering teams managing large-scale data lakes on cloud object storage
  • Organizations needing to experiment with data transformations without corrupting production datasets
  • Companies adopting data mesh or data lakehouse architectures that require data versioning
  • Teams that want to apply CI/CD workflows to data pipelines

Strengths and what to watch

Strengths

  • Open-source project with 5.4k GitHub stars and 6,500+ commits, indicating strong community engagement and active maintenance
  • Provides a unique Git-like interface for data lakes, differentiating from table-format-only solutions like Delta Lake or Iceberg
  • Supports major cloud object stores (S3, GCS, Azure Blob) and integrates with Spark, Hive, and Presto

Watch for

  • No disclosed funding, revenue, or headcount in the dossier, making it difficult to assess financial health or growth trajectory
  • The enterprise edition's features (RBAC, SSO) are not available in the open-source community edition, potentially limiting adoption for larger organizations without a paid license
  • Competition from deeply integrated table formats (Iceberg, Delta Lake) that are backed by major cloud vendors and have broader ecosystem support

Key Information

Industry
Data Management
Founded
1986

Frequently Asked Questions

What is LakeFS and how does it work for data lakes?

LakeFS is an open-source project that adds Git-like version control to data lakes. It lets teams branch, commit, merge, and roll back data changes directly on object stores like S3, GCS, and Azure Blob, enabling safe experimentation.

Is LakeFS open source and where can I find it?

Yes, LakeFS is open source under an Apache 2.0 license for the community edition. It is hosted on GitHub under the treeverse organization, with 5.4k stars and over 6,500 commits as of late May 2026, showing active development.

What are the differences between LakeFS community and enterprise editions?

The community edition is Apache 2.0 licensed and free. The enterprise edition adds RBAC, SSO, and other features not available in the open-source version. The project recently cleaned its OpenAPI spec to clarify which endpoints are enterprise-only.

How does LakeFS compare to Delta Lake or Apache Iceberg?

LakeFS provides a Git-like interface for entire data lakes, while Delta Lake and Iceberg focus on table formats. LakeFS works on object stores and integrates with Spark, Hive, and Presto, but faces competition from vendor-backed table formats.

What cloud object stores does LakeFS support?

LakeFS supports major cloud object stores including Amazon S3, Google Cloud Storage, and Azure Blob Storage. This allows data engineering teams to manage versioning across different cloud environments using the same Git-like workflow.

Who typically uses LakeFS in their data workflows?

LakeFS is used by data engineering teams managing large-scale data lakes, organizations experimenting with data transformations without corrupting production datasets, and teams adopting data mesh or lakehouse architectures that need data versioning and CI/CD pipelines.

Sources

  1. github.com — Project metadata: 5.4k stars, 6,527 commits, OpenAPI cleanup removing enterprise-only endpoints, dual-license structure
  2. investors.snowflake.com — Snowflake Q1 FY27 results showing $1.33B product revenue, 34% YoY growth, 779 customers >$1M spend — context on data platform market
  3. investor.salesforce.com — Salesforce FY26 results with $41.5B revenue, Agentforce ARR $800M — context on enterprise data/AI spending
  4. investors.delltechnologies.com — Dell FY26 record revenue $113.5B, $64B in AI server orders — context on infrastructure market