Dolt
by Community
Dolt – Git for Data
OSS
Dolt
Added 1 June 2026
Overview
Dolt is a SQL database with Git-like version control built in. It tracks schema and data changes as commits, enabling branching, merging, and full history inspection. Developers can clone databases, create branches for experiments, and merge changes back with conflict resolution.
Best for
Best for
Teams needing audit trails and collaborative workflows on structured data
Use cases
- Tracking data lineage and auditing changes across database versions
- Collaborating on database schema and data modifications in parallel branches
- Rolling back corrupted or incorrect data to a known good state
Notes
Dolt is a SQL database with Git-like version control built in. It tracks schema and data changes as commits, enabling branching, merging, and full history inspection. Developers can clone databases, create branches for experiments, and merge changes back with conflict resolution.
22,967 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Use cases
- Tracking data lineage and auditing changes across database versions
- Collaborating on database schema and data modifications in parallel branches
- Rolling back corrupted or incorrect data to a known good state
Pros
- Native Git workflow for databases eliminates separate version control tooling
- Full commit history and blame tracking for data changes
- SQL-compatible interface reduces learning curve for database users
Cons
- Performance overhead compared to standard SQL databases due to version tracking
- Smaller ecosystem and community support than PostgreSQL or MySQL
- Merging complex data conflicts requires manual intervention
Indexed from awesome-llmops and enriched against its public facts.
Pros
- Native Git workflow for databases eliminates separate version control tooling
- Full commit history and blame tracking for data changes
- SQL-compatible interface reduces learning curve for database users
Cons
- Performance overhead compared to standard SQL databases due to version tracking
- Smaller ecosystem and community support than PostgreSQL or MySQL
- Merging complex data conflicts requires manual intervention
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