Data intelligence that understands your platforms

Most data catalogs treat ServiceNow as tables and columns. Mettadata treats it as the deeply semantic platform it actually is — then connects that intelligence to Snowflake and beyond.

CSDM-native navigation. One-click query generation. Data quality tied to CMDB health. An experience built by someone who lives in these platforms.

The thesis

Depth-first, not breadth-first. Instead of connecting to everything and understanding nothing, Mettadata starts with two platforms — ServiceNow and Snowflake — and builds genuinely useful intelligence: resolved reference fields, CSDM-aligned views, executable glossary terms, and queries that actually work.

Then it expands. Each new source gets a tailored experience, but everything ties back to a unified enterprise view. The goal isn't to catalog your data. It's to make your data navigable, queryable, and trustworthy.

ServiceNow Intelligence

CSDM-aware data navigation. Dictionary inheritance, choice list resolution, reference field graphs — not generic table scans.

Snowflake Integration

Understand how ServiceNow data lands in Snowflake. Lineage, semantic views, tag-aware governance, and query generation that reflects the full pipeline.

Queries at a Click

Contextual, platform-aware query generation. Not generic SQL templates — queries informed by CSDM structure, field semantics, and your actual data model.

Data Quality as Workflow

CMDB health alignment, data quality signals, and ServiceNow incident integration. Governance that's operational, not just documented.

Mettadata is in early development. If you work with ServiceNow or Snowflake data and want to see what a platform-native approach feels like, try the current build.

Try the platform View on GitHub

This is an experiment — a passion-driven exploration of what data intelligence could look like when built with deep platform knowledge and strong opinions about how ServiceNow and Snowflake data should actually work.