Apache Paimon vs Quilt
Apache Paimon
paimon.apache.orgQuilt
quilt.bioSide by side
| Figure | Apache Paimon | Quilt |
|---|---|---|
| Price from | Free | $312.50/mo |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Data Version Control Tools | 9.0 (#2) | 7.4 (#30) |
| Purpose | Apache Paimon is a lake format for unified batch, streaming, and multimodal AI workloads. | Quilt is a data management and governance platform that turns scientific data in Amazon S3 into versioned, governed packages teams can find, trust, and reproduce. |
| Support | The project directs users to its user mailing list and GitHub issue tracker for help and issue reporting. | The pricing page lists Enterprise Support, Priority implementation support, and Premium Support on progressively higher plans. |
Plans
Quilt
- Enterprise+$312.50 a month
- Enterprise Scale$425 a month
- Enterprise$625 a month
- Startup$750 a month
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.