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docs(readme): highlight built-in Iceberg catalog and lakehouse use case

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Surface the table-buckets / Iceberg REST Catalog story in the
introduction and add a Data Lakehouse Features section so readers
landing on the README see that SeaweedFS replaces both the object
store and the metastore in an Iceberg stack.
This commit is contained in:
Chris Lu
2026-05-03 23:46:08 -07:00
parent 73fc9e3833
commit 4e22d9533b
1 changed files with 20 additions and 0 deletions
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@@ -146,6 +146,11 @@ SeaweedFS can achieve both fast local access time and elastic cloud storage capa
What's more, the cloud storage access API cost is minimized.
Faster and cheaper than direct cloud storage!
SeaweedFS also ships a built-in **Iceberg REST Catalog**, turning the same cluster into a self-contained lakehouse.
Spark, Trino, Dremio, DuckDB, and RisingWave can query Iceberg tables directly — no Hive Metastore, Glue, or
external catalog service required. Storage and table metadata live in one system, simplifying on-prem and
small-team analytics stacks.
[Back to TOC](#table-of-contents)
# Features #
@@ -182,6 +187,13 @@ Faster and cheaper than direct cloud storage!
* [Cloud Drive][CloudDrive] mounts cloud storage to local cluster, cached for fast read and write with asynchronous write back.
* [Gateway to Remote Object Store][GatewayToRemoteObjectStore] mirrors bucket operations to remote object storage, in addition to [Cloud Drive][CloudDrive]
## Data Lakehouse Features ##
* [S3 Table Buckets][S3TableBucket] expose a dedicated namespace for Iceberg tables with strict layout validation.
* Built-in [Iceberg REST Catalog][IcebergCatalog] runs alongside the S3 endpoint — no external metastore needed.
* Native integrations with [Apache Spark][SparkIceberg], [Trino][TrinoIceberg], [Dremio][DremioIceberg], [DuckDB][DuckDBIceberg], and [RisingWave][RisingWaveIceberg].
* [Automated table maintenance][IcebergMaintenance]: compaction, snapshot expiration, orphan removal, manifest rewriting.
* Granular IAM at the bucket, namespace, and table level via standard S3 bucket policies.
## Kubernetes ##
* [Kubernetes CSI Driver][SeaweedFsCsiDriver] A Container Storage Interface (CSI) Driver. [![Docker Pulls](https://img.shields.io/docker/pulls/chrislusf/seaweedfs-csi-driver.svg?maxAge=4800)](https://hub.docker.com/r/chrislusf/seaweedfs-csi-driver/)
* [SeaweedFS Operator](https://github.com/seaweedfs/seaweedfs-operator)
@@ -205,6 +217,14 @@ Faster and cheaper than direct cloud storage!
[KeyLargeValueStore]: https://github.com/seaweedfs/seaweedfs/wiki/Filer-as-a-Key-Large-Value-Store
[CloudDrive]: https://github.com/seaweedfs/seaweedfs/wiki/Cloud-Drive-Architecture
[GatewayToRemoteObjectStore]: https://github.com/seaweedfs/seaweedfs/wiki/Gateway-to-Remote-Object-Storage
[S3TableBucket]: https://github.com/seaweedfs/seaweedfs/wiki/S3-Table-Bucket
[IcebergCatalog]: https://github.com/seaweedfs/seaweedfs/wiki/SeaweedFS-Iceberg-Catalog
[IcebergMaintenance]: https://github.com/seaweedfs/seaweedfs/wiki/Iceberg-Table-Maintenance
[SparkIceberg]: https://github.com/seaweedfs/seaweedfs/wiki/Spark-Iceberg-Integration
[TrinoIceberg]: https://github.com/seaweedfs/seaweedfs/wiki/Trino-Iceberg-Integration
[DremioIceberg]: https://github.com/seaweedfs/seaweedfs/wiki/Dremio-Iceberg-Integration
[DuckDBIceberg]: https://github.com/seaweedfs/seaweedfs/wiki/DuckDB-Iceberg-Integration
[RisingWaveIceberg]: https://github.com/seaweedfs/seaweedfs/wiki/RisingWave-Iceberg-Integration
[Back to TOC](#table-of-contents)