Side by side
Apache Iceberg vs DataChain
Both stand on data version control tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan APILinuxMac+2
Choose Apache Iceberg when analytic tables need to be shared across engines while retaining snapshots, rollback, and flexible schema changes. Check engine compatibility before adopting version 1.12.0, especially if a workload relies on Spark 3.4 or Flink 2.0.
Visit Apache Iceberg
Free plan APILinuxSelf-hosted+1
DataChain combines dataset organization, Python processing, and agent integrations for unstructured data work. The free plan is limited to one developer and local compute; broader team and distributed options are available through higher tiers.
Visit DataChainThe facts
| Apache Iceberg | DataChain | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | API, Linux, Mac, Self-hosted, Windows | API, Linux, Self-hosted, Web |
| Lowest paid plan | Free or on request | See the plans |
| Plans published | 1 | 3 |
| Maker | Not published | Not published |
| Website | iceberg.apache.org | datachain.ai |
| On data version control tools | #2 of 36 | #6 of 36 |
Apache Iceberg: what it does well
- Free and licensed under Apache License, Version 2.0.
- Lets multiple engines work with the same tables.
- Supports schema changes without rewriting tables.
- Provides snapshot queries and rollback.
- Supports concurrent writes with optimistic concurrency.
What to know first
- Self-hosted deployment uses storage you provide.
- Version 1.12.0 removes Spark 3.4 support.
- Version 1.12.0 removes Flink 2.0 support.
DataChain: what it does well
- Supports S3, GCS, Azure, local filesystems, and Hugging Face
- Runs pipelines locally or across distributed workers
- Automatic checkpoints and asynchronous I/O
- Studio includes experiment tracking and a model registry
- Offers on-prem deployment and role-based access
What to know first
- Teams plan is marked coming soon
- Enterprise pricing is custom
- Open-source users manage their own credentials and security policies
Alternatives to Apache Iceberg Alternatives to DataChain The whole list