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SPECIFICTION
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Dolt vs Oxen

Dolt

dolthub.com

Oxen

oxen.ai

Side by side

FigureDoltOxen
Price from$5/mo$30/mo
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYesYes
Plans published33
Spec score · Data Version Control Tools8.4 (#11)7.9 (#18)
SupportHosted Dolt includes enterprise support, with deployment-console tickets answered by an on-call team member within the hour.The Trust Center provides a Support Policy, and the documentation invites users to ask Oxen or its community questions through Discord.

Plans

Dolt

  • DoltFree
  • DoltHub Pro$5 a month
  • Hosted Dolt trial instance$50 a month

Dolt pricing →

Oxen

  • ExplorerFree
  • Hacker$30 a month
  • Pro$60 a month

Oxen pricing →

In their own words

Dolt

Dolt is a SQL database for managing data with version-control operations. Users can fork, clone, branch, merge, push and pull databases, then inspect commits, compare diffs, resolve SQL conflicts and revert commits. It can be connected to like a MySQL database or deployed as a versioned MySQL replica. DoltHub hosts public data and provides a web interface for editing and pull-request review; databases are public by default, with private databases available to Pro users or organizations. DoltLab is a self-hosted option for running DoltHub on a private network or development machine. Connector libraries include JDBC, Perl DBI, MySQL Connector/Python and Go sqlx/database/sql; listed framework integrations include Django, SQLAlchemy, Prisma, Laravel, Hibernate, GORM, Rails and FastAPI. Hosted Dolt includes a web SQL workbench, nightly full backups retained for 14 days, and AWS and GCP private networking. Dolt is free and open source. DoltHub Pro is $5 a month; a Hosted Dolt trial instance is $50 a month.

Visit dolthub.com

Oxen

Oxen combines access to AI models with tools for organizing and versioning the data used with them. Its unified API provides more than 200 text, image, video, and audio models. Oxen versions prompts, media, labels, metadata, generated outputs, and training examples, and says it can scale to millions of files and terabytes of data. Teams can browse datasets, review generated work, experiment across branches, and track who changed what and when. Users can fine-tune supported open-source models on proprietary text, image, and video datasets. Data can be read or written through the Python API, HTTP API, command line, or open-source server. Private deployment is available in a customer’s VPC or fully on-premises. Explorer is free and includes unlimited public repositories and collaborators, five private repositories, up to three private collaborators, and 50gb each of storage and transfer. Hacker costs $30 a month; Pro costs $60 a month. Model inference is pay as you go; dedicated GPUs are charged per second and shut down after 15 minutes of inactivity.

Visit oxen.ai