Apache Iceberg vs Graviti
Apache Iceberg
iceberg.apache.orgGraviti
graviti.comSide by side
| Figure | Apache Iceberg | Graviti |
|---|---|---|
| Price from | Free | $200/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 3 |
| Spec score · Data Version Control Tools | 8.7 (#3) | 8.0 (#14) |
| Integrations | The documentation lists integrations including Kafka Connect, AWS Glue, AWS S3, Dell ECS, JDBC, and Nessie. | The platform lists GroundTruth Tools for annotation and says third-party applications can be integrated through its marketplace. |
Plans
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.
Graviti
Graviti is a data platform for organizing unstructured data used in analytics and AI. It brings raw files, metadata, and semantic data into one place, with customizable filters for querying the latter two. Datasets can be managed through commits and branches, using incremental versioning that avoids duplicating data. Supported material includes images, video, lidar formats such as .pnts, .pcd, .bin, .las, and .ply, as well as time-series and fusion datasets. Annotation options include Classification, Box, Polygon, Polyline, and Cuboid. Users can inspect data and annotation distributions online through lists, histograms, and pie charts without downloading datasets or writing code. Developers can work through a Python SDK, OpenAPI, or command-line interface. Processing workflows can run on commits or manually, and their jobs can use any programming language with Graviti APIs. The platform also offers role-based dataset access, GroundTruth Tools, and marketplace integrations. It is available through web and API. The Starter plan is free; paid plans start at $200/mo, and a 14-day trial is available.