erwin Data Modeler

Create entity-relationship diagrams for comprehensive data architecture planning.

Model data at various abstraction levels for design, implementation, and analysis.

Generate models from databases and vice versa for efficiency and consistency.

Generate DDL scripts for multiple database systems from your data models.

Bi-directional model/database syncing with difference tracking and ALTER script generation.

Collaborate with teams using Git for version control of data models.

Automate repetitive tasks using reusable templates and automation macros.

Modify large sets of objects across models to save time.

Import/export metadata from other modeling platforms and tools.

Create high-level abstract models for business-focused planning.

Define data elements and relationships regardless of physical constraints.

Design detailed implementations considering DBMS-specific settings.

Tailor the modeling environment for better usability and alignment with preferences.

Visual collaboration platform for publishing and reviewing models online.

Link models to business glossaries to support data governance.

Automatically validate models against custom or default rules.

Connect with platforms like Snowflake, AWS, Azure, Google BigQuery, and more.

Establish standards and ensure compliance via integrated data governance features.

Map and transform data during legacy system migrations or modernization.

Design models for environments combining traditional and NoSQL data stores.

Share and manage models using erwin Mart or cloud-based repository.

Automatically generate documentation from existing schema and models.

Manage user access and editing rights for enterprise-grade data governance.

Track model changes and maintain historical versions for auditability.

Identify dependencies and understand change impact across the data landscape.