Apache Hudi vs XTDB
Apache Hudi
hudi.apache.orgXTDB
xtdb.comSide by side
| Figure | Apache Hudi | XTDB |
|---|---|---|
| Price from | Free | $166.67/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Data Version Control Tools | 8.1 (#12) | 7.6 (#25) |
| Integrations | The site lists integrations including Apache Spark, Apache Flink, Kafka, Debezium, Amazon S3, Google Cloud Storage, Azure Blob Storage, Trino, and dbt. | XTDB supports Apache Kafka as a message log and Kafka Connect as an external source. |
| Schema | Hudi supports schema evolution and enforcement to adapt tables as data changes and help avoid data corruption. | XTDB supports flexible schema and first-class handling of semi-structured data. |
| Support | The site points users to community channels including Slack, GitHub, and the Hudi mailing list for community participation and technical help. | The maker offers annual production support subscriptions, community support, consulting, and training. |
| Transactions | Hudi lists atomic writes, snapshot isolation, and non-blocking concurrency controls among its transactional features. | XTDB supports PostgreSQL-compatible SERIALIZABLE SQL transactions with optimistic concurrency. |
Plans
XTDB
- Partner PackFree
- Developer Edition$2,000 a year
- Production SupportPriced on request
In their own words
Apache Hudi
Apache Hudi is a free, open-source data lakehouse platform that adds database capabilities to data lakes and supports incremental processing for low-latency analytics. It can update and delete records, with pluggable indexing for change-data-capture and streaming workloads. Transaction features include atomic writes, snapshot isolation, and non-blocking concurrency controls. Users can query historical table versions, roll back changes, and review commit history. Automated table services handle clustering, compaction, cleaning, file sizing, and indexing, while schema evolution and enforcement accommodate changing data. Listed integrations include Apache Spark, Apache Flink, Kafka, Debezium, Amazon S3, Google Cloud Storage, Azure Blob Storage, Trino, and dbt. Some integrations are read-only, so Spark or Flink may write Hudi tables for those systems to query. Downloads include source releases and Maven bundles, with PGP verification advised. Hudi relies on the security posture of its compute and storage environment.