Enterprise Data Management Starts with lakeFS

Bring order, speed, and reliability to distributed data environments.

Make your data infrastructure investments pay off

As your data and operations grow in complexity, lakeFS Enterprise brings order to your data infrastructure.

Distributed Data Management

Manage all your storage systems through one interface

Access and manage data across S3, GCS,
Azure, and on-prem environments
Apply consistent standards and policies
applied automatically across locations
Eliminate custom sync scripts and
maintenance overhead

Centralized Governance & Access Control

Implement governance policies once, enforce them everywhere

Control access consistently across all data
locations (cloud, on-prem, and hybrid)
Track complete audit trails of all data access
and modifications
Enforce policies automatically without
configuring per-system rules

Unified Data Access

Access all data through one logical namespace

Eliminate location-specific access
patterns and connection methods
Use a single URI format across all
environments – just lakefs:// it
Abstract away storage-specific
complexities for data consumers

Reduced Time-to-Data

Deliver data to users faster without copying or syncing

Eliminate delays caused in scattered
storage systems and permission barriers
Import data into logical repositories
instantly without physical duplication
Create isolated environments with
zero-copy branching in seconds

Mirror Data Transactionally

Keep all environments in sync without manual effort

Create one-to-many mirrors with
consistent, read-only snapshots
Strengthen disaster recovery
with point-in-time consistency
Optimize performance with improved
data locality across regions

Transparent, traceable and repeatable development of AI is critical to us. What's important for Lockheed Martin is that we don't just focus on what we're building but also on the how.

You have a centralized system for a decentralized organization structure, which is highly beneficial. lakeFS provides a centralized solution and toolchain for ML and data science

With lakeFS, we have streamlined data science and MLOps workflows, adapted data access controls for different data teams, accelerated productivity and reduced time-to-insights for ML engineering projects