Hive tables

How e6data queries Hive tables through a Hive Metastore or compatible catalog.

e6data queries Hive tables - data registered in a Hive Metastore (or a compatible catalog) and stored in object storage. Hive remains a common format for Hadoop- and Spark-based data lakes.

How it works

e6data connects to your metastore through a catalog, reads the table and partition metadata, and reads the underlying data files directly from object storage (S3, ADLS Gen2). e6data is read-only - it discovers and queries Hive tables but does not modify the metastore or the data.

What's supported

• Reading Hive tables via the Hive Metastore catalog, and via AWS Glue where Hive-style tables are registered in Glue.
• Partitioned and non-partitioned tables, with partition pruning at query time.
• Common open file formats stored under Hive tables (such as Parquet and ORC).

Connect to Hive tables

There is no separate "Hive tables" catalog type - connect the catalog that manages your Hive tables:

1. Open the Catalogs section and select Create Catalog.
2. Choose Hive Metastore (or AWS Glue if your Hive tables are registered in Glue).
3. Provide the connection details and the schemas to expose.

See the catalog guides for the full connection steps, including cross-account access.

See also

• Hive Metastore
• AWS Glue Catalog
• Table formats overview
• Iceberg · Delta Lake