Iterative (lakeFS)
Treeverse (lakeFS) brings Git-like version control to data lakes, applying software engineering best practices to data at scale to enable reproducible and reliable AI and data workflows.
At a Glance
- Data Engineering
- MLOps
- AI Research
- Large Enterprises
- +1 more
AI Tools by Iterative (lakeFS)
(1)
DVC (Data Version Control)
Git Version Control for ML Data
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Latest News
lakeFS Acquires DVC, Uniting Data Version Control Pioneers
Git-for-data Pioneer lakeFS Secures $20M in Growth Capital
Enabling Trustworthy AI: Lockheed Martin AI Factory Collaboration
Open Source lakeFS Data Version Control Levels Up to 1.0
Products & Services
Open-source data version control that transforms object storage into Git-like repositories. Supports S3, GCS, Azure Blob, and MinIO.
A fully managed SaaS offering of lakeFS that simplifies deployment and scaling for enterprise teams.
Commercial version including Role-Based Access Control (RBAC), Single Sign-On (SSO), auditing, and SLA support.
Open-source version control for machine learning projects, acquired from Iterative.ai.
Market Position
Positions itself as the 'Git for Data', offering a more scalable and infrastructure-agnostic version control layer compared to file-based tools like DVC (which it now owns) or storage-native versioning.
Leadership
Founders
Dr. Einat Orr
Co-founder & CEO. Previously CTO at SimilarWeb (publicly traded). PhD in Mathematics from Tel Aviv University. Experience leading R&D teams at Earnix and Extreme Reality.
Oz Katz
Co-founder & CTO. Previously VP R&D and Production Engineering at SimilarWeb. Co-founded Swayy (acquired by SimilarWeb). Known for scaling large-scale data infrastructures.
Executive Team
Dr. Einat Orr
Co-Founder & CEO
Former CTO of SimilarWeb, PhD in Mathematics.
Oz Katz
Co-Founder & CTO
Former VP R&D at SimilarWeb, founder of Swayy.
Board of Directors
Founding Story
Founded by Einat Orr and Oz Katz after experiencing scaling challenges at SimilarWeb. They realized that while code was well-managed with Git, data lacked a similar version control layer, leading to reliability and reproducibility issues in data lakes.
Business Model
Revenue Model
Open-core model. Revenue is generated through lakeFS Cloud (managed SaaS) and lakeFS Enterprise (licensing/subscriptions for advanced features and support).
Pricing Tiers
Self-hosted, core Git-like versioning features, community support.
Managed/SaaS options, RBAC, SSO, advanced security, audit logs, and 24/7 support.
Target Markets
- Data Engineering
- MLOps
- AI Research
- Large Enterprises
- Quantitative Finance
- ETL testing and quality assurance
- Reproducible machine learning experiments
- Data disaster recovery
- Safe collaboration on shared data lakes
- Regulatory compliance for data lineage
- Netflix
- Volvo
- Lockheed Martin
- Paige.ai