Apache Iceberg
e6data supports querying Apache Iceberg™ tables via external catalogs such as Snowflake Open Catalog, AWS Glue, and Apache Polaris. Iceberg is a high-performance, open table format built for large-scale analytics with support for schema evolution, partitioning, and metadata versioning.
How It Works
e6data connects to catalogs that expose Iceberg metadata using the Apache Iceberg REST protocol. These catalogs fall into two categories:
Internal Catalogs (e.g., Polaris): Fully managed by the provider. e6data can perform read operations, and in some cases write operations (where supported). Snowflake can only read from these catalogs.
External Catalogs (e.g., AWS Glue, Snowflake Open Catalog): Managed by third-party systems. Iceberg tables from these catalogs are synced into Open Catalogs and are read-only for external engines like e6data.
e6data queries Iceberg tables by accessing metadata from these connected catalogs.
What Is Supported
Reading Iceberg tables via:
Snowflake Open Catalog
AWS Glue
Apache Polaris
Support for partitioned and non-partitioned Iceberg tables (depending on catalog configuration).
Access to Iceberg metadata: schemas, partitions, and basic statistics.
Catalog integration through the Iceberg REST protocol.
What Is Not Supported (Future Release)
Writing to Iceberg tables from e6data.
Creating Iceberg tables via the e6data UI.
Clustering operations (e.g., re-clustering or compaction).
Full metadata synchronization when Iceberg tables are written from multiple engines.
Sample Queries
-- List all tables from a catalog namespace
SHOW TABLES FROM glue_catalog.sales;
-- Query records from an Iceberg table
SELECT *
FROM glue_catalog.sales.q1_orders
WHERE total_amount > 1000;
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