ER/Studio Data Achitect

Entity-Relationship Diagrams design databases properly and collaborate effectively. ER/Studio Data Architect is an ER diagram tool that helps data modelers and architects to create and manage entity-relationship diagrams (ERDs), both platform-independent and platform-specific.

Unlike its competition, it provides the broadest range of data platform support, industry-leading enterprise-level capabilities, visual data lineage and flow modelling, full dimensional modelling for data warehousing and business intelligence, and business data objects to bridge the gap between developers and data architects.

ER/Studio Enterprise Team Edition is the leading business-driven data architecture solution that combines multi-platform data modelling, business process modelling, and enterprise metadata for organizations of all sizes. With an extensive feature set, the ER/Studio suite provides robust logical and physical modelling with ER/Studio Data Architect, business process and conceptual modelling with ER/Studio Business Architect, business glossaries with ER/Studio Team Server, and more, to build the foundation for data governance programs.

Collaborate on Glossaries

A data glossary is a collection of all terms that define your data’s key characteristics, organized in a way that is easy to search. A glossary is a list of terms and their definitions that gives context and helps organize knowledge. A data glossary serves the same purpose for all the data assets in an organization. It contains business terms, phrases, and concepts that help define the data.

Collaborate on Metadata

ER/Studio Enterprise Team Edition provides greater understanding and context to enterprise data through team collaboration on an enterprise glossary of business definitions. This increases the value of enterprise data by giving employees across the organization the ability to use and improve metadata.

Data professionals and business stakeholders choose ER/Studio to share models and metadata in a comprehensive enterprise architecture. The glossary terms linked to data assets improves data discovery. A data glossary provides additional metadata that helps generate more accurate search results. This makes searching for data faster and easier.