Apache Paimon vs Graviti

Apache Paimon8.7Visit Graviti7.8Visit

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

vs

Graviti #14 in Data Version Control Tools 7.8/10 Free plan · 14-day trial Free planFree trial✓ 2 of 2 features Visit Graviti

• Apache Paimon fits best

  Streaming table and CDC pipelines

• Graviti fits best

  Hosted teams managing visual datasets

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Side by side

Feature	Apache Paimon 8.7/10 Visit ↗	Graviti 7.8/10 Visit ↗
At a glance
Editor score	8.7	7.8
Ranking	#5 in Data Version Control Tools	#14 in Data Version Control Tools
Best for	Streaming table and CDC pipelines	Hosted teams managing visual datasets
Pricing model	Free	Free plan + paid
Starting price	Free plan	$200/mo
Free plan	✓	✓
Free trial	—	14 days
Deployment	Self-hosted	Cloud, Self-hosted
Support	Community, Docs	Phone, Docs
Integrations	8 integrations	3 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Apache Paimon 2/2 · Graviti 2/2
Dataset branching	✓	✓
Point-in-time rollback	✓	✓
Specs
Data scope	Tables	Files_and_tables
Snapshot granularity	Table	Not checked yet
Storage backend	Bring_your_own	Both
Deployment model	Self_hosted	Both
Our review
Pros	Snapshots, branches, tags, time travel, and rollback support Streaming reads and writes with CDC ingestion pipelines Integrates with Flink, Spark, Hive, Trino, and more	Commits, tags, branches, rollback, and version history Visual comparison, raw-data views, and annotation visualization Python SDK, CLI, API access, and role-based controls
Cons	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	Paid plans start at $200 per month Web and API are the listed platform options Workflow automation and customer success require Premium
Our verdict	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 →	Graviti is a data platform for AI developers and development teams managing unstructured datasets. It supports raw data, metadata, annotations, complex datasets, and authorized external cloud storage. Teams can organize dataset commits,… Read the review →

Strengths and trade-offs

• 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

• Graviti — where it wins

  • Commits, tags, branches, rollback, and version history
  • Visual comparison, raw-data views, and annotation visualization
  • Python SDK, CLI, API access, and role-based controls

  Where it doesn't

  • Paid plans start at $200 per month
  • Web and API are the listed platform options
  • Workflow automation and customer success require Premium

• Apache Paimon8.7/10 · Free plan

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

  Visit Apache PaimonFull verdict →
• Graviti7.8/10 · Free plan · 14-day trial

  A hosted dataset control layer with strong versioning, visualization, and developer access.

  Visit GravitiFull verdict →