Competitors
50
Summary
lakeFS is a data version control platform that applies Git-like operations to data lakes, enabling isolated development, parallel experimentation, and reproducibility for machine learning and AI projects. It helps teams manage data quality, streamline MLOps workflows, and ensure data consistency across various environments.
Feature Matches8/31
See all8/31
Must Have
2 of 9
Cloud Storage Integration
Privacy Controls
AI File Chat
Automated Sorting Rules
Semantic Search
Automated Folder Organization
Conversational AI Interface
File Editing & Renaming
User Feedback Learning
Other
6 of 22
Manual Approval Workflow
Local File Access
Multi-User Collaboration
Enterprise SSO & Compliance
Centralized Team Billing
Data Encryption & Security
Feedback-Driven Refinement
Demo Mode
Usage Credits & Quotas
Advanced AI Model
Cloud Storage Integrations
Local File System Access
File Cleaning & Deduplication
Content-based Q&A
Security & Privacy Controls
Version History
Multi-tier Pricing Plans
User Roles & Permissions
Cross-platform Support
Bulk Operations & Batch Processing
Customizable Sorting Rules
Notifications & Reminders
PricingTiered
See allTiered
Open Source
$0.00 one time
Popular- Format-Agnostic Data Version Control
- Cloud-Agnostic
- Zero Clone copy for isolated environment (via branches)
- Atomic Data Promotion (via merges)
- Data Stays in One Place
- Configurable Garbage Collection
- Data CI/CD Using lakeFS Hooks
- Integrates with Your Data Stack
- Run locally
Enterprise
Custom
Popular- All Open Source features
- Role-Based Access Control (RBAC)
- Single Sign On (SSO)
- SCIM Support
- IAM Roles
- Mount Capability
- Audit Logs
- Transactional Mirroring
- Simplified Garbage Collection (Managed or Standalone)
- SOC2
- Support SLA
Rationale
lakeFS is a data version control system for data lakes, offering Git-like operations for data. While it provides versioning, branching, and merging for data, which can help with reproducibility and collaboration in ML/AI workflows, it does not explicitly offer AI-powered file organization features like AI file chat, semantic search, or automated sorting rules for general file management. Its focus is on data versioning for large datasets, particularly for ML and data engineering, rather than intelligent file organization for individuals or small teams.
