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:
- Open the Catalogs section and select Create Catalog.
- Choose Hive Metastore (or AWS Glue if your Hive tables are registered in Glue).
- Provide the connection details and the schemas to expose.
See the catalog guides for the full connection steps, including cross-account access.
See also
Last modified on October 1, 2026
