ER/Studio automatically populates the catalog from models that are built or imported into the platform. Tables, attributes, data types, glossary terms, classifications, and relationships are all captured in one searchable registry, giving teams a single place to explore the organization’s data landscape.
The catalog includes technical metadata such as entities, columns, and constraints, as well as business metadata like definitions, classifications, lineage links, and glossary associations. This combination provides both technical accuracy and business context for each data asset.
Advanced search, filtering, and tagging make it easy to locate objects by name, term, model, domain, or category. Users can browse conceptual, logical, and physical layers, follow relationships, and access diagrams or lineage views to confirm they’ve found the correct asset.
By cataloging data assets along with their definitions, owners, classifications, and usage relationships, ER/Studio creates a clear inventory of enterprise data. This helps governance teams maintain stewardship responsibilities, document compliance requirements, and ensure consistent data definitions across departments.
Non-technical users can search the catalog, view business-friendly definitions, and understand semantic context without navigating full data models. Integrated glossary terms, descriptions, and lineage links help analysts and business stakeholders interpret the data correctly and trust that it aligns with enterprise standards.
