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 ## Introduction
 
 SeaweedFS supports **Amazon S3 Tables**, providing a dedicated interface for managing structured datasets. A table bucket holds one table format and declares which when it is created: **Apache Iceberg**, served by the [[SeaweedFS Iceberg Catalog]], or **Lance**, served by the [[SeaweedFS Lance Catalog]]. Unlike standard S3 buckets that store unstructured objects, S3 Table Buckets are optimized for analytics workloads, offering a hierarchical structure of **Namespaces** and **Tables**.
+Ingestion tools that speak the REST catalog, such as OLake Go, load data the same way.
 
 This feature implements the **Iceberg REST Catalog API**, allowing direct integration with analytics engines like Apache Spark, Trino, Dremio, DuckDB, and RisingWave without needing an external catalog service.