Apache Iceberg vs XTDB
Apache Iceberg
iceberg.apache.orgXTDB
xtdb.comSide by side
| Figure | Apache Iceberg | XTDB |
|---|---|---|
| Price from | Free | $166.67/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Data Version Control Tools | 8.7 (#3) | 7.6 (#25) |
| Integrations | The documentation lists integrations including Kafka Connect, AWS Glue, AWS S3, Dell ECS, JDBC, and Nessie. | XTDB supports Apache Kafka as a message log and Kafka Connect as an external source. |
| License | The site identifies Apache License 2.0 as the license for Apache Iceberg. | XTDB is free to use and open source under the MPL license. |
| Purpose | Apache Iceberg is an open table format for analytic datasets and a high-performance format for huge analytic tables. | XTDB is an immutable SQL database designed to simplify development, reporting, and compliance for systems that need historical records. |
| Support | The project community page lists public mailing lists, including user and developer lists. | The maker offers annual production support subscriptions, community support, consulting, and training. |
Plans
XTDB
- Partner PackFree
- Developer Edition$2,000 a year
- Production SupportPriced on request
In their own words
Apache Iceberg
Apache Iceberg is a free, open-source table format for analytic datasets, including very large analytic tables. It is self-hosted and works through APIs on Linux, macOS, and Windows, using storage you provide. Engines such as Spark, Trino, Flink, Presto, Hive, and Impala can use the same tables. SQL commands support merging new data, updating rows, and targeted deletes. Columns can be added, renamed, or reordered without rewriting a table. Hidden partitioning creates partition values and skips unnecessary partitions and files. Table snapshots can be queried by version or timestamp, and tables can be rolled back. Atomic updates, serializable isolation, consistent snapshot reads, and optimistic concurrency support multiple writers. Integrations include Kafka Connect and catalogs such as AWS Glue, JDBC, and Nessie. Encryption supports AWS, Azure, or GCP KMS clients, including custom clients. Version 1.12.0 removes Spark 3.4 and Flink 2.0 support. The Apache License 2.0 applies.