Dolt
Git-style version control for SQL databases, now covering MySQL, PostgreSQL, Mongo, and SQLite.
Dolt is a smart pick for teams that already live in Git and want the same discipline for their relational data. It's not a drop-in for every database use case — high-frequency OLTP and lightweight embedded use are better served elsewhere — but for data collaboration, reproducibility, and auditability, it delivers real value. Doltgres 1.0 (August 2026) now gives PostgreSQL shops a production-ready option, and DumboDB's RBAC and auto-commit features are genuinely useful for MongoDB teams. If you need version-controlled SQL data and are comfortable with Git concepts, Dolt is worth adopting.
Verified 4d ago · liveness 73/100 · cite: rightaichoice.com/tools/dolt
- Data teams needing collaborative version control for databases
- Organizations requiring audit trails and reproducibility of data
- Engineers building Git-like workflows around SQL data
- Data scientists who want to branch and merge datasets
- Users needing a lightweight embedded database (use DoltLite instead)
- Teams that cannot tolerate learning version control concepts
- Projects requiring full PostgreSQL compatibility (Doltgres 1.0 is new, test first)
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Skip Dolt if you need a lightweight embedded database (use DoltLite instead) or if you run high-frequency OLTP without any audit/reproducibility needs — the versioning overhead isn't worth it.
Private database hosting on DoltHub and Hosted Dolt require contacting sales for pricing, so costs scale with your storage and compute needs.
Dolt is open source and free to self-host, making it cost-effective for teams that already have infrastructure. DoltHub public databases are free, but private hosting and Hosted Dolt are contact-sales, so pricing may be higher than a managed MySQL like RDS. Doltgres offers free self-hosting, positioning it as a low-cost alternative to managed Postgres.
In short
Dolt — Git-style version control for SQL databases, now covering MySQL, PostgreSQL, Mongo, and SQLite. Best for Data teams needing collaborative version control for databases, Organizations requiring audit trails and reproducibility of data, Engineers building Git-like workflows around SQL data. Free to use.
What's new in Dolt
Checked 4 days agoAcross the latest 5 updates: 3 feature updates, 1 launch and 1 changelog entry.
Doltgres is as Fast as MySQL is Slow
Performance optimizations for Doltgres bring it on par with MySQL 8 in benchmarks.
DumboDB: Announcing RBAC Support
DumboDB adds role-based access control for security in MongoDB-compatible versioning.
DoltLite Prolly Tree Visualizer
Interactive Prolly Tree visualizer powered by DoltLite in the browser.
DoltHub Now Supports DoltLite and Doltgres Databases
DoltHub adds push/pull/clone for DoltLite and Doltgres repositories.
Doltgres 1.0
Doltgres, the Postgres-flavored Dolt, reaches 1.0 production readiness.
What people actually say about Dolt — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
45 mentions across 2 sources (Hacker News, Lemmy) · researched Jul 3, 2026.
- +Full Git-style branching and merging for tables and rows.
- +MySQL-compatible — works with existing MySQL clients and tools.
- +Time-travel queries and rollback to any commit.
- +Unique pull request workflow for database changes.
- +Open source and free core with paid hosted options.
- −Reliability concerns under heavy production load.
- −Small community means fewer integrations and examples.
- −Not a drop-in replacement for MySQL in all cases.
- −Maturity: still evolving core features and edge cases.
- −Learning curve for Git-like workflows in databases.
- • Hosted Dolt pricing not publicly detailed; may surprise at scale.
- • DoltLab enterprise tier pricing undisclosed.
Viability Score
How well maintained and how widely used is Dolt? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Git-style version control for tables (branch, merge, diff, commit, push, pull)
- MySQL-compatible SQL interface for any MySQL client, ORM, or CLI
- Time-travel queries and rollback to any commit
- Clone, fork, and share databases via DoltHub
- Pull request workflow for database changes
- Concurrent branching and merging with conflict resolution
- Doltgres: PostgreSQL-compatible version control (1.0 production-ready as of August 2026)
- DumboDB: MongoDB-compatible with auto-commit, undrop, and RBAC support
- DoltLite: version-controlled SQLite (alpha) with Prolly Tree visualizer
- Works as a versioned MySQL replica
- Agent Mode in Dolt Workbench for AI-assisted querying
- BranchBench performance benchmarking for agentic SQL workflows
- Import and export CSV, JSON, Parquet
- Built-in diff and log for tables and rows
- ACID transactions with versioning
About Dolt
Dolt is a SQL database that behaves like a Git repository: fork, clone, branch, merge, push, and pull data just like code. It offers MySQL-compatible SQL with full version control, enabling time-travel queries, rollback to any commit, and collaborative pull requests. Built for data engineers, scientists, and AI agent developers, Dolt turns databases into auditable, collaborative artifacts. The ecosystem now includes Doltgres (PostgreSQL-compatible, 1.0 production-ready as of August 2026), DoltLite (version-controlled SQLite), and DumboDB (MongoDB-compatible with recent RBAC and auto-commit). DoltHub provides cloud hosting, DoltLab self-hosting, and Hosted Dolt a managed service. Dolt also works as a versioned MySQL replica, letting you add Git-like features to an existing database. Agent Mode in Dolt Workbench assists with AI-powered querying, and BranchBench benchmarks agentic SQL workflows. Import and export CSV, JSON, Parquet, and rely on ACID transactions with versioning at the core.
Behind the Verdict
Dolt is one of the most thoughtful takes on data versioning we've seen. It takes the Git model — branches, commits, merges, pull requests — and applies it to SQL tables, which means you can experiment with data changes in a branch and merge them only after review. That's a huge win for data teams that need reproducibility and audit trails. The MySQL compatibility is solid: you can connect with any MySQL client, ORM, or CLI, and it even works as a versioned replica of an existing MySQL database, so you can add versioning without a full migration. The recent expansion is notable: Doltgres reached 1.0 in August 2026, giving PostgreSQL users a production-ready option, and DumboDB now supports MongoDB with RBAC, so the model extends beyond MySQL. The team has also shipped performance improvements — Doltgres is now on par with MySQL 8 in some benchmarks, and GROUP BY optimizations have landed. DoltHub and DoltLab give you a GitHub-like experience for hosting and reviewing database changes, and Hosted Dolt offers a managed cloud option. For AI agent developers, Agent Mode and BranchBench show a clear focus on agentic SQL workflows. That said, Dolt isn't for everyone. The learning curve is real if you're not already comfortable with Git. Storage overhead grows because every commit is stored, so you'll need to think about retention. And for high-frequency OLTP, the versioning overhead may not be worth it. If you need a lightweight embedded database, DoltLite is still alpha. If you need full PostgreSQL compatibility without caveats, Doltgres 1.0 is only just out, so you'll want to test it before committing. Overall, for data teams that want Git-like discipline on their databases, Dolt is a compelling, honest choice.
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Real-world workflow fit
Concrete scenarios for the personas Dolt actually fits — and what changes day-one when you adopt it.
You need to add version control to an existing MySQL database.
Outcome: Deploy Dolt as a versioned MySQL replica, connect a MySQL client, and start branching and merging schema changes with full history.
You want to experiment with a dataset without affecting production.
Outcome: Fork a DoltHub database, make changes in a branch, run time-travel queries to compare, and submit a pull request for review.
You want to benchmark and test agentic SQL workflows.
Outcome: Use BranchBench to measure performance, and leverage Agent Mode in Dolt Workbench for AI-assisted query generation.
Use Cases
- Branch and experiment with production data without risk, then merge changes via pull request.
- Rollback to any previous state of your database for debugging or reproducibility.
- Clone databases for development, testing, and CI/CD pipelines.
- Deploy Dolt as a versioned MySQL replica to add Git-like features to existing MySQL.
- Collaborate on open datasets by forking, editing, and submitting pull requests on DoltHub.
- Use DumboDB to version MongoDB data with SQL-like queries and RBAC.
- Use DoltLite for lightweight, version-controlled embedded SQLite databases.
- Benchmark agentic SQL workflows with BranchBench.
Limitations
- Dolt requires familiarity with Git concepts and SQL.
- Version control of all data history may lead to increased storage usage, and the Git-like model has a learning curve for non-technical users.
- Doltgres 1.0 is only just released, so expect a maturing ecosystem.
- DoltLite is still alpha.
- High-frequency OLTP workloads may see performance overhead from versioning.
- No specific AI models are referenced.
as of 2026-08-19
Verification history
We have re-verified Dolt 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Dolt tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Dolt (Open Source)
$0/mo
Ideal for
Data teams and developers who want to self-host a version-controlled SQL database and are comfortable with command-line workflows.
What this tier adds
Starting tier: free and open source, includes core version control engine, MySQL-compatible SQL, time-travel queries, and CLI/server.
DoltHub (Public Databases)
$0/mo
Ideal for
Collaborative data teams and open-data projects that want free cloud hosting and a web GUI for reviewing changes.
What this tier adds
Adds cloud hosting for public databases, pull request workflow, forking, cloning, and issue tracking — all free.
DoltLab (Self-Hosted)
$0/mo
Ideal for
Organizations that need DoltHub features but cannot put data on the public internet due to security or compliance.
What this tier adds
Self-hosted version of DoltHub with full control, unlimited private repos, and free open-source licensing.
DoltHub (Private Databases)
Contact for pricing
Ideal for
Teams that need private database hosting and access control but prefer a managed cloud option.
What this tier adds
Adds private hosting, access control, and collaboration features beyond the free public tier.
Hosted Dolt
Contact for pricing
Ideal for
Production applications that want a fully managed Dolt instance with backups, maintenance, and scaling support.
What this tier adds
Fully managed service on top of Dolt, with provisioning, backups, and scaling handled by the vendor.
Where the pricing makes sense
The company stage and team size where Dolt's pricing actually pencils out — and where peers do it cheaper.
Dolt is open source and free to self-host, making it cost-effective for teams that already have infrastructure. DoltHub public databases are free, but private hosting and Hosted Dolt are contact-sales, so pricing may be higher than a managed MySQL like RDS. Doltgres offers free self-hosting, positioning it as a low-cost alternative to managed Postgres.
Setup time & first value
How long it actually takes to get something useful out of Dolt — broken out by persona, not the marketing-page minute.
For MySQL users, start with dolt init in minutes; deploy as a replica after a few hours. Doltgres setup is similar for Postgres users. DoltHub hosting is instant; private hosting may require sales contact.
Switching to or from Dolt
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From MySQL: Use Dolt as a MySQL replica to add versioning without migration.
- →From Postgres: Use Doltgres 1.0 for near-compatible migration with versioning.
- →From MongoDB: Use DumboDB for Mongo-compatible versioning.
- ↗To standard MySQL: Configure replication to a traditional MySQL instance.
- ↗To standard PostgreSQL: Use Doltgres's SQL compatibility to export data.
- ↗To MongoDB: Use DumboDB's export or replicate to a standard Mongo instance.
Integrations
Resources & Guides
Official links
Tools that pair well with Dolt
Common stack mates teams adopt alongside Dolt, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Dolt vs Spider Cloud
Choose Spider Cloud if you need fast, AI-friendly web scraping with structured output at low cost. Choose Dolt if you need Git-like version control for your SQL database, enabling branching, merging, and audit trails. They serve completely different needs; your decision hinges on whether you need to extract web data or version your own data.
Dolt vs Screenplayiq
ScreenplayIQ and Dolt serve entirely different domains, so the choice depends on your role. ScreenplayIQ is ideal for screenwriters and producers who want data-driven script feedback and box office estimates. Dolt is a must-have for data teams needing version control for databases, with recent updates improving performance and PostgreSQL compatibility. If you're a data professional, Dolt wins; if you're in film, ScreenplayIQ is the pick.
Dolt vs Temporal Ai
Choose Temporal AI if you need rock-solid orchestration for long-running, failure-prone AI agents or microservices — its durable execution is unmatched. Choose Dolt if your pain point is versioning and collaborating on data itself, not code; it's a drop-in MySQL with Git workflows. They solve different problems: Temporal orchestrates processes; Dolt versions data. Your choice hinges on whether your primary need is workflow reliability or data historization.
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