ROADMAP

IOMETE Enterprise Catalog

Status
In-Progress
Last Updated
July 1, 2026

Overview

Problem:
  • Today you must choose one catalog per storage format (Iceberg, Hive-metastore, …).
  • Hive Metastore only works under spark_catalog, is tied to a V1 API, and blocks us from modern security & lineage features.
  • Teams therefore juggle multiple catalogs, duplicate grants, and can't query JSON/CSV/ORC tables alongside Iceberg in a single namespace.
What we are building:
  • We are introducing Unity Catalog for IOMETE – a format-agnostic, V2-API data catalog that becomes the single source of truth for all tables (Iceberg, Parquet, JSON, CSV, ORC today; Hudi, Delta & others next).
  • Any Spark catalog you create will be able to register heterogeneous tables without restrictions, so logical domains (e.g. finance, marketing) no longer leak physical storage choices.
Why this matters (Value)

‍

Theme Benefit
Operational simplicity One catalog to deploy, back up, secure and monitor.
Developer velocity Create a table in the best-fit format and query it instantly – no migration or re-registration.
Governance Centralised RBAC & auditing across formats; paves the way for column-level lineage.
Modern APIs Fully on the Spark Catalog V2 interface – no Hive classes on the classpath, no legacy config knobs.

‍

Planned Features

  • Read/write support: Iceberg, Parquet, JSON, CSV, ORC
  • Namespace & table-level ACLs via GRANT/REVOKE
  • JDBC/ODBC discovery
  • Migration utility: automatic import of existing Hive Metastore schemas into Unity
  • Add Hudi & Delta tables
  • Column-level lineage & tags
  • Fine-grained privileges (column, row filter, mask)
  • UI explorer inside IOMETE Console

‍

BOOK A DEMO

Starting with IOMETE is simple. Book a demo with us today.

The IOMETE data platform helps you achieve more. Book a personalized demo and experience the impact firsthand.

Get in touch