Dolt vs Apache Paimon

Dolt9.2Visit Apache Paimon8.7Visit

Higher score Dolt #2 in Data Version Control Tools 9.2/10 Free plan Free plan✓ 2 of 2 features Visit Dolt

vs

Apache Paimon #5 in Data Version Control Tools 8.7/10 Free plan Free plan✓ 2 of 2 features Visit Apache Paimon

• Dolt fits best

  Teams versioning SQL database tables

• Apache Paimon fits best

  Streaming table and CDC pipelines

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Side by side

Feature	Dolt 9.2/10 Visit ↗	Apache Paimon 8.7/10 Visit ↗
At a glance
Editor score	9.2	8.7
Ranking	#2 in Data Version Control Tools	#5 in Data Version Control Tools
Best for	Teams versioning SQL database tables	Streaming table and CDC pipelines
Pricing model	Free	Free
Starting price	Free plan	Free plan
Free plan	✓	✓
Free trial	—	—
Deployment	Cloud, Self-hosted	Self-hosted
Support	Email, Community, Docs	Community, Docs
Integrations	16 integrations	8 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Dolt 2/2 · Apache Paimon 2/2
Dataset branching	✓	✓
Point-in-time rollback	✓	✓
Specs
Data scope	Tables	Tables
Snapshot granularity	Table	Table
Storage backend	Both	Bring_your_own
Deployment model	Both	Self_hosted
Our review
Pros	Commits, branches, diffs, merges, rollback, and remotes for tables MySQL-compatible server with SQL tools and developer integrations Free, open source, cross-platform, and available for self-hosting	Snapshots, branches, tags, time travel, and rollback support Streaming reads and writes with CDC ingestion pipelines Integrates with Flink, Spark, Hive, Trino, and more
Cons	Hosted Dolt is a separate paid cloud service Focused on table versioning rather than file-based version control Advanced workflows require familiarity with database and Git-style operations	Self-hosted deployment requires you to manage the environment Storage is bring-your-own rather than bundled Java and Python are the listed API languages
Our verdict	Dolt is an open-source SQL database that versions tables instead of files. It is designed for developers and teams building data-intensive applications, collaborating on datasets, tracking data changes, and supporting reproducible… Read the review →	Apache Paimon is an open-source lake format from the Apache Software Foundation for teams building realtime lakehouse architectures around tables. It supports append and primary-key tables, organizing data with schemas, snapshots,… Read the review →

Strengths and trade-offs

• Dolt — where it wins

  • Commits, branches, diffs, merges, rollback, and remotes for tables
  • MySQL-compatible server with SQL tools and developer integrations
  • Free, open source, cross-platform, and available for self-hosting

  Where it doesn't

  • Hosted Dolt is a separate paid cloud service
  • Focused on table versioning rather than file-based version control
  • Advanced workflows require familiarity with database and Git-style operations

• Apache Paimon — where it wins

  • Snapshots, branches, tags, time travel, and rollback support
  • Streaming reads and writes with CDC ingestion pipelines
  • Integrates with Flink, Spark, Hive, Trino, and more

  Where it doesn't

  • Self-hosted deployment requires you to manage the environment
  • Storage is bring-your-own rather than bundled
  • Java and Python are the listed API languages

• Dolt9.2/10 · Free plan

  Git-style table versioning with MySQL compatibility and open-source deployment.

  Visit DoltFull verdict →
• Apache Paimon8.7/10 · Free plan

  A flexible open-source choice for streaming tables, CDC pipelines, and lakehouse architectures.

  Visit Apache PaimonFull verdict →