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lakeFS Acquires DVC, Uniting Data Version Control Pioneers to Accelerate AI-Ready Data

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lakeFS Named Cool Vendor™ in the 2026 Gartner® Coolest Vendor Innovations in Data Management

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lakeFS Community Edition is Moving to the Business Source License

Starting with lakeFS v1.87.0, the lakeFS open source project (the lakeFS Community edition) moves from Apache 2.0 to the Business Source License (BSL). Every release

AI Data Governance by Design at lakeFS

Announcing the lakeFS Summer 2026 Release: Governance for AI-Ready Data

As AI moves into production, organizations are under growing pressure to govern the data behind it. Models are trained on petabytes of multimodal data. AI

Learn how to mount cloud storage as a local drive to speed up ML and analytics workflows, plus the tools, tradeoffs, and versioning practices that keep it fast.

Mount Cloud Storage as Local Drive for Faster ML & Analytics Workflows

Running an ML workflow means you need a way to quickly access massive datasets. Downloading data from cloud storage before each experiment comes with clear

Unity Catalog and the quiet return of Vendor Lock-in

Unity Catalog and the Quiet Return of Vendor Lock-In

Databricks built its reputation on openness. Spark. Delta Lake. MLflow. A company that rose by betting on open ecosystems over proprietary silos. Which is why

lakeFS for Agentic AI

Agentic AI Will Make or Break on the Data Layer. Meet lakeFS for Agentic AI

For the past few years, the hard work in AI has gone into models. Organizations spent that time learning, experimenting, and building the best models

AI-Ready Data Summit logo

Introducing the AI-Ready Data Summit

Free Virtual Event for Enterprise AI Leaders Building AI that works in production is hard. For most enterprise teams, the biggest obstacle isn’t the model,

CytoReason

How CytoReason Streamlined Nextflow with lakeFS for Smarter Data Pipelines

TL;DR CytoReason is a technology company transforming biopharma’s decision-making—from trial and error to data-driven—through its AI platform of computational disease models. Leveraging an extensive database

Git-Style Workflows for Multimodal AI Data Using Dremio and lakeFS

Git-Style Workflows for Multimodal AI Data Using Dremio and lakeFS

This post recaps a comprehensive tutorial published by Alex Merced from Dremio and Tal Sofer from lakeFS, highlighting how version control transforms multimodal data management

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