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LakeFS Review — Data Version Control
lakeFS adds Git-like features to data lakes for safe experimentation.
6.8
/ 10
Visit LakeFS
8.0
Volvenix Verdict
AI-powered editorial review
A robust tool for managing data versioning in data lakes.
PROS
- Git-like version control for data lakes
- Open-source and community-driven
- Seamless integration with data processing engines
CONS
- Enterprise pricing may be a barrier
- Not ideal for individuals or small teams
Is LakeFS Right for You?
A quick checklist to help you decide.
You need version control for your data lake.
You need a free or low-cost data management solution.
You want to experiment safely without data duplication.
Your team does not require version control features.
Your team requires reliable rollback capabilities.
You prefer a simpler data management tool.
Ideal for: Data engineers and ML teams looking for version control in data lakes.
Less suited for: Individuals or small teams needing a free or low-cost solution may find it unsuitable.
Bottom line: The need for Git-like version control in data lakes.
Editorial Review
lakeFS stands out with its Git-like version control for data lakes, making it ideal for data engineers and ML teams. Its open-source nature and seamless integration with data processing engines enhance its appeal. However, its enterprise pricing may be a barrier for smaller teams or individuals.
AI-assessed from 4 sources.
Pros & Cons
Pros
Git-like version control for data lakes
Open-source and community-driven
Seamless integration with data processing engines
Supports safe experimentation
Reliable rollback capabilities
Cons
Enterprise pricing may be a barrier
major
Not ideal for individuals or small teams
moderate
Who Is It For & What Can It Do
Best For
Developer / Engineer
Advanced curve
AI Capabilities
Data versioning
Reproducible data snapshots
Workflow automation via API
Key Features
Version Control
Git-like versioning for data lakes
Safe Experimentation
Experiment without data duplication
Rollback Capabilities
Reliable rollback to previous data states
Best Use Cases
Data versioning for ML projects
Safe experimentation in data lakes
Reliable data rollback for analytics
Integration with existing data processing workflows
Available Platforms
API / SDK
Web App
Integrations
Amazon S3
Apache Airflow
Apache Spark
Azure Data Lake Storage (ADLS)
Google Cloud Storage
Kubernetes
Presto
Trino
Inputs & Outputs
Apiinput
Textinput
Apioutput
Textoutput
Supported Languages
English
Security & Compliance
Pricing Plans
Community (Open Source)
Free
- Self-hosted lakeFS
- Git-like branches/commits/tags
- S3/ADLS/GCS compatible object stores
- API and integrations
Cloud
Custom
- Managed lakeFS service
- Operational management/hosting
- Support (varies by contract)
Enterprise
Custom
- Enterprise support and SLAs
- Enterprise-grade features (contract-dependent)
- Security/compliance options (contract-dependent)
lakeFS is available under an enterprise pricing model, suitable for larger organizations.
Price Range
Free
$0–$0
Pricing History
Support Channels
Popular Comparisons
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Frequently Asked Questions
What is this tool?
lakeFS is an open-source data version control system for data lakes.
How much does it cost?
lakeFS operates under an enterprise pricing model.
Does it have a free plan?
No, lakeFS does not offer a free plan.
What integrations does it support?
lakeFS integrates with various data processing engines.
Who is it best for?
It is best for data engineers and ML teams needing version control.
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Last verified: Jun 1, 2026
Info sourced from public data & vendor website.
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