Apache Paimon vs Kedro
Apache Paimon
paimon.apache.orgKedro
kedro.orgSide by side
| Figure | Apache Paimon | Kedro |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Version Control Tools | 9.0 (#2) | 7.4 (#28) |
| Security model | The project says trust and authorization boundaries are generally enforced by the surrounding catalog, engine, service, operator configuration, and storage authorization. | Kedro describes itself as a code authoring framework and says project code runs as normal Python with the permissions of its deployment environment. |
| Support | The project directs users to its user mailing list and GitHub issue tracker for help and issue reporting. | The project points users to its community on Slack for technical questions and provides documentation and tutorials. |
Plans
In their own words
Apache Paimon
Apache Paimon is a lake format for realtime lakehouse architectures, supporting streaming and batch operations with Flink and Spark. Primary-key tables handle large-scale streaming updates through configurable merge engines, including deduplication, partial updates, aggregation, and first-row updates. Append tables support batch and streaming processing, small-file merging, and compaction with Z-order sorting. Paimon also provides ACID transactions, time travel, schema evolution, and metadata for petabyte-scale datasets and many partitions. Listed integrations include Flink, Spark, Hive, Trino, Presto, StarRocks, and Doris, though supported operations vary by engine and version. Documented CDC sources include MySQL, PostgreSQL, Kafka, MongoDB, and Pulsar. Other capabilities include blob and vector storage, full-text search, and global indexing. PyPaimon provides catalog, table, Arrow, and pandas APIs plus a command-line tool; core reads and writes do not require a JVM or a running Flink or Spark cluster. It is free at free, with users choosing connectors and storage plugins for their environment.