Treeverse
Treeverse (lakeFS) provides open-source data version control that brings Git-like operations to large-scale data lakes, enabling data teams to manage data with the same rigor as code.
At a Glance
- Data Engineering
- Machine Learning / AI
- Data Science
- Enterprise Data Lakes
AI Tools by Treeverse
(1)lakeFS
Data Version Control for Lakes
Discussions
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Latest News
lakeFS Secures $20M in Growth Capital to Improve Enterprise AI Tech Stack
Treeverse Raises $23M for lakeFS Data Versioning Platform
Treeverse Launches lakeFS to Bring Git-Like Version Control to Data Lakes
lakeFS Integrates with Databricks Unity Catalog for Enhanced Data Governance
Products & Services
Core open-source data version control system providing Git-like operations for data lakes.
Fully managed SaaS version of lakeFS for easier deployment and scaling.
Enterprise-grade features including RBAC, SSO, audit logs, and dedicated support for self-hosted or cloud deployments.
Market Position
Positions itself as 'Git for Data', competing with projects like Project Nessie, DVC, and Delta Lake's internal versioning by being format-agnostic and operating at the object storage level.
Leadership
Founders
Dr. Einat Orr
Co-founder and CEO. Previously CTO at SimilarWeb for 4 years. PhD in Mathematics from Tel Aviv University. Held R&D leadership roles at Earnix and Extreme Reality.
Oz Katz
Co-founder and CTO. Previously VP R&D at SimilarWeb. Software architect and developer with experience in large-scale data systems and open source.
Executive Team
Dr. Einat Orr
CEO & Co-founder
Former CTO of SimilarWeb, PhD in Mathematics.
Oz Katz
CTO & Co-founder
Former VP R&D of SimilarWeb.
Board of Directors
Founding Story
Founded by Einat Orr and Oz Katz who worked together at SimilarWeb. They experienced the pain of data engineering at scale and realized that data lakes lacked the versioning and safety features common in software development (Git). They created lakeFS to allow branching, merging, and rolling back data in object storage.
Business Model
Revenue Model
Open-core model with managed SaaS (lakeFS Cloud) and enterprise licenses for advanced features.
Pricing Tiers
Core versioning, branching, merging, hooks, community support.
Fully managed, managed garbage collection, scalable infrastructure.
RBAC, SSO, SCIM, Audit Logs, SOC2, Support SLA, unlimited seats.
Target Markets
- Data Engineering
- Machine Learning / AI
- Data Science
- Enterprise Data Lakes
- Isolated Dev/Test environments
- ML Experiment Reproducibility
- Data Quality Validation
- Disaster Recovery
- Cloud Data Migration
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