Build an audit trail for regulated data by tracking every change with timestamps and authorship.
Collaborate on shared datasets as a team, merging edits and resolving conflicts like you would with code.
Test schema changes or data migrations on a branch before applying them to production.
Push your database to DoltHub to share datasets publicly or privately with colleagues.
Requires building from Go source, setting up MySQL, and understanding both Git workflows and SQL semantics together.
Dolt is a SQL database that works like Git. If you have used Git to track changes to code, creating branches, committing saves, merging work from teammates, or reverting to an earlier state, Dolt brings all of those same concepts to database tables. The practical benefit: with a regular database, when data changes, the old version is gone. With Dolt, every change is recorded in a history. You can look at what the data looked like last Tuesday, create an experimental branch to try out changes without affecting the main database, merge two people's edits together, or push your database to a remote server for others to pull. The command-line interface mirrors Git so closely that if you know Git commands, you already know most of how to use Dolt. You connect to it just like a MySQL database using standard SQL queries, so existing tools and applications that work with MySQL will work with Dolt too. Version control features are also accessible from within SQL itself using special built-in functions and tables. The team behind Dolt also runs DoltHub, a public hosting platform for shared databases, similar in spirit to what GitHub is for code. You would use Dolt when your data needs a full audit trail, when teams collaborate on datasets and need to manage conflicts, or when you want to experiment with database changes safely on a branch before committing them. It is written in Go.
Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.