LakeFS
Git for Data
IvaraX Analysis
lakeFS provides enterprise-grade data version control that brings Git-like branching and versioning capabilities to data lakes and AI infrastructure. The platform has established itself as a leader in the DataOps space with strong enterprise adoption and comprehensive integrations across the modern data stack.
Key Strengths
- +Comprehensive integration ecosystem supporting all major cloud providers, compute engines, and ML tools
- +Strong enterprise validation with documented case studies from Arm, Netflix, and Lockheed Martin
- +Recognition as a Representative Vendor in Gartner's 2025 Market Guide for DataOps Tools
- +Open-source foundation with enterprise options providing deployment flexibility
- +Zero-copy branching architecture enabling cost-effective testing at production scale
Ideal For
- →Enterprise AI and ML teams requiring reproducible model training and data lineage
- →Organizations with strict data governance and compliance requirements
- →Data engineering teams managing large-scale data lakes across distributed environments
- →Companies transitioning to AI-ready data infrastructure with existing S3-compatible storage
Things to Consider
- !Organizations should evaluate whether their data infrastructure primarily uses S3-compatible object storage for optimal integration
- !Teams new to data version control concepts may require initial onboarding and workflow adjustments
- !Enterprise features and support require commercial licensing beyond the open-source offering
About LakeFS
lakeFS is a data version control platform that serves as the control plane for AI-ready data infrastructure. Founded on the principle of bringing Git-like version control capabilities to data lakes, the company has recently acquired DVC (Data Version Control), uniting two pioneers in the data versioning space to accelerate enterprise AI data management. The platform enables organizations to manage data lifecycle, provenance, and unified access for AI and data teams. lakeFS provides enterprise-grade solutions for ensuring data quality, making machine learning training reproducible, and reducing data access friction across distributed teams. The platform integrates seamlessly with major cloud storage providers, compute engines, and ML tools, supporting formats ranging from structured data to unstructured content like images and video. Trusted by notable organizations including Arm, Netflix, Lockheed Martin, and Microsoft, lakeFS has been recognized as a Representative Vendor in the 2025 Gartner Market Guide for DataOps Tools.
Why Choose LakeFS
- Git-like version control for data at scale, enabling isolated testing on production data with zero data copy
- Instant rollback capabilities for rapid recovery from data incidents
- Full data lineage and audit trail for ML governance and compliance requirements
- Seamless integration with 50+ tools across the entire data and AI stack
- Proven enterprise adoption with customers like Arm, Netflix, and Lockheed Martin
Services
Data Version ControlML/AI Data ManagementData QualityMLOpsData Governance
Technologies
Apache SparkTrinoPrestoDatabricksSnowflakeAWS GlueApache KafkaApache FlinkAirbyteDelta LakeApache IcebergApache HudiParquetApache AirflowdbtKubernetesAWS S3Google Cloud StorageAzure ADLSMinIODuckDB
Tech Stack(detected from website)
Amazon S3Google Cloud StorageAzure ADLSApache SparkDatabricksSnowflakeApache IcebergDelta LakeApache KafkaApache FlinkAirflowKubernetesMLFlowJupyter
Industries Served
Notable Clients
ArmNetflixLockheed MartinMicrosoft
Categories
Company Info
- Headquarters
- US
