Apache Paimon vs Apache Iceberg

Apache Paimon8.7Visit Apache Iceberg8.4Visit

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

Apache Iceberg #8 in Data Version Control Tools 8.4/10 Open source ✓ 2 of 2 features Visit Apache Iceberg

• Apache Paimon fits best

  Streaming table and CDC pipelines

• Apache Iceberg fits best

  Open table-format versioning

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Side by side

Feature	Apache Paimon 8.7/10 Visit ↗	Apache Iceberg 8.4/10 Visit ↗
At a glance
Editor score	8.7	8.4
Ranking	#5 in Data Version Control Tools	#8 in Data Version Control Tools
Best for	Streaming table and CDC pipelines	Open table-format versioning
Pricing model	Free	Free
Starting price	Free plan	Open source
Free plan	✓ (best)	Not checked yet
Free trial	—	—
Deployment	Self-hosted	Self-hosted
Support	Community, Docs	Community, Docs
Integrations	8 integrations	6 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Apache Paimon 2/2 · Apache Iceberg 2/2
Dataset branching	✓	✓
Point-in-time rollback	✓	✓
Specs
Data scope	Tables	Tables
Snapshot granularity	Table	Table
Storage backend	Bring_your_own	Bring_your_own
Deployment model	Self_hosted	Self_hosted
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	Free open-source snapshots, time travel, rollback, branches, and tags Schema and partition evolution without rewriting table data Broad support for Spark, Flink, Hive, Trino, Presto, and Impala
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	Self-hosted deployment requires teams to manage storage and catalog backends Focused on table-format infrastructure rather than a hosted SaaS workspace Concurrency and metadata maintenance require operational data-platform ownership
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 →	Apache Iceberg is an open table format for large analytic datasets, aimed at data teams building lakehouse and analytic-table infrastructure. It manages table metadata, schemas, partitions, data files, and snapshots while allowing… 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

• Apache Iceberg — where it wins

  • Free open-source snapshots, time travel, rollback, branches, and tags
  • Schema and partition evolution without rewriting table data
  • Broad support for Spark, Flink, Hive, Trino, Presto, and Impala

  Where it doesn't

  • Self-hosted deployment requires teams to manage storage and catalog backends
  • Focused on table-format infrastructure rather than a hosted SaaS workspace
  • Concurrency and metadata maintenance require operational data-platform ownership

• Apache Paimon8.7/10 · Free plan

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

  Visit Apache PaimonFull verdict →
• Apache Iceberg8.4/10 · Open source

  A capable open table format for teams managing versioned analytic datasets.

  Visit Apache IcebergFull verdict →