Herus

Herus is a Data Catalog and Metadata Management platform designed for asset discovery, lineage visualization, and collaborative data modeling.

Key Capabilities

• Bidirectional Metadata Sync: Extracts metadata, lineage, and usage insights from the data stack and writes field descriptions back to source databases as native SQL comments.
• End-to-End Lineage Mapping: Traces data flow from source tables and data processing code through to downstream dashboards and analytics assets.
• AI-Augmented Documentation: Suggests business definitions and infers lineage using Natural Language Processing (NLP), subject to manual verification and validation.
• Collaborative Data Board: Facilitates visual design of joins, unions, and data transformations within a shared canvas prior to development.
• Automated Specification Generation: Converts visual models into technical documentation and written specifications to eliminate manual documentation redundancy.
• Unified Discovery: Provides access to data assets via SQL-like filters and AI-powered search interfaces.

Audience & Use Cases

• Audience: Data Engineers, Data Analysts, and Data Governance teams.
• Use Case: Impact analysis for schema changes, centralized metadata governance, and pre-development data architecture design.

Technical Specifications

• Input Sources: SQL Databases, Transformation Logic, BI Metadata
• Write-Back Capability: Native SQL Comments
• Discovery Protocols: SQL-based Filtering, NLP Search
• Modeling Logic: Visual Canvas, Schema Design, Workflow Orchestration