Apache Iceberg vs PlanetScale
Apache Iceberg
iceberg.apache.org
PlanetScale
planetscale.comSide by side
| Figure | Apache Iceberg | PlanetScale |
|---|---|---|
| Price from | Free | $5/mo |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 4 |
| Spec score · Data Version Control Tools | 8.7 (#3) | 7.6 (#24) |
| Integrations | The documentation lists integrations including Kafka Connect, AWS Glue, AWS S3, Dell ECS, JDBC, and Nessie. | The site lists Fivetran, Airbyte, Hightouch, Datadog, Vantage, and Debezium integrations for Vitess, and Prometheus, Datadog, and pganalyze monitoring integrations for Postgres. |
| Reliability | The documentation describes atomic table updates, serializable isolation, consistent snapshot reads, and rollback from table history. | High-availability architecture uses one primary and two replicas across three availability zones with automated failover. |
| Support | The project community page lists public mailing lists, including user and developer lists. | Enterprise plans include business-level support, and customers can optionally purchase Enterprise support with direct Slack access to support engineers. |
Plans
PlanetScale
- Base — PlanetScale Postgres single node$5 a month
- Base — PlanetScale Postgres Metal$50 a month
- Base — Vitess, Neki, and other configurationsPrice not published
- EnterprisePriced 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.
PlanetScale
PlanetScale has no write-up on Specifiction yet; its figures are above.