What is Herus ?
Herus is a modern data catalog that helps you organize, discover and design your data.
The platform integrates with the existing data stack to import:
Metadata
Semantic definitions
Data lineage
Usage insights
Data processing code
It can also push field descriptions directly back into databases as native SQL comments.
Data Discovery & Lineage
Users can explore data through:
An intuitive interface
Advanced SQL-like filters
AI-powered search
Herus provides end-to-end lineage visibility, allowing teams to:
Trace data back to its original sources
Understand downstream dependencies
Visualize how data flows into dashboards and analytics
AI-Assisted Documentation
Herus uses AI to reduce manual documentation efforts by:
Suggesting business definitions
Inferring lineage relationships
Enabling natural language interactions within the catalog
All AI-generated suggestions remain fully reviewable before validation, ensuring teams keep full control over governance decisions.
Collaboration Between Technical & Business Teams
The platform improves collaboration through dedicated workflows adapted to different roles across the organization.
Analysts, engineers, and business users can work within a shared environment while keeping processes aligned with their responsibilities.
Collaborative Data Design
Beyond cataloging existing assets, Herus also includes a collaborative data board where teams can:
Visually design transformations
Model joins and unions
Organize workflows before development begins
Based on these designs, AI can automatically generate complete written specifications, helping reduce duplicated work across documentation tools and wikis.
A Data Catalog Built for Operations
By connecting design, documentation, collaboration, and governance in a single workspace, Herus positions the data catalog as an operational platform used throughout data projects, rather than as a documentation repository used only after implementation.
