xStore Unified Data Catalog

What is xStore?

xStore is the unified data catalog and apply governance layer for the Acceldata xDP platform. It provides a single place to register, organize, and govern all of your catalog — whether they live in legacy and modern data stack like hadoop, cloud object store, relational database, iceberg, data lake etc — and makes those catalogs discoverable and queryable by any connected compute engine such as Spark, Trino etc.

Key Concepts

• Metalake: This is top level entity which manage different catalogs. We can create multiple metalakes per business use cases.

• Catalog: A registered data source within a metalake. A catalog maps directly to a specific storage system or database (for example, Hive metastore, HDFS, S3, PostgreSQL database, Apache Iceberg lakehouse etc).

• Schema: A logical grouping of tables within a catalog, equivalent to a database schema or namespace. Schemas let you organize related tables and apply governance boundaries at a fine-grained level.

• Table: A named collection of structured data defined by a schema (columns and types) within a schema. xStore tracks table metadata — columns, data types, partition specs, and properties — without storing the underlying data itself.

• xStore Iceberg REST Catalog service: xStore Iceberg Rest server following the Apache Iceberg REST specification. It enables any Iceberg-native client or compute engine to interact with Iceberg tables using the open REST protocol.

• Hive Metastore Service: xStore includes a Hive metastore service if the client wants to manage the catalogs using xStore hive metastore service itself.

Supported Catalog Providers

Capabilities

• Multi-Source Metadata Federation: Register and govern data assets across heterogeneous systems — Iceberg, Hive, PostgreSQL, Snowflake, S3, Kafka, and more — through a single UI and API, without moving the underlying data.

• Hive-Compatible for Legacy Workloads : Existing Spark jobs and Hive workloads discover and query xStore-managed tables without modification, through a built-in Hive Metastore-compatible interface.

• Open Standards, No Vendor Lock-In : Built for the Apache Iceberg REST Catalog specification. Any Iceberg-native client — Spark, Trino, PyIceberg — can connect using the open REST protocol without proprietary drivers or SDKs.

• Automatic Governance Registration : Every catalog registered in xStore is automatically backed by an Apache Ranger service definition. Fine-grained access policies at the catalog, schema, and table level are enforced at query time — from the moment a catalog is created.

• Native Iceberg Lakehouse Management : Create and manage Iceberg namespaces and tables directly from the portal, with built-in support for schema evolution, hidden partitioning, time travel, and snapshot history — no external metadata store required.

• One-Click Catalog Sync to Compute : Push catalog configuration to Trino and Spark in one click. No manual reconfiguration — compute engines pick up new catalogs within seconds.