Check out that all-new user interface of erwin Data Modeler!
The undisputed leader in enterprise data modeling is entering a new era. Its all new user interface is designed for clean simplification of the data modeling that you have relied on to build your foundation for trusted data. It will become generally available next month!
Master complexity. Model with confidence.
Build strong data governance frameworks that ensure quality, consistency and regulatory compliance. erwin Data Modeler equips you with the tools to seamlessly integrate data from various sources while standardizing definitions and formats across your entire data landscape. Reduce risk, guarantee compliance and foster consistent data usage across the organization – breaking down silos and enhancing accessibility through enterprise glossary integration, Git version control and collaboration features.
Ensure accurate data mapping, transformation and integration across legacy systems and new platforms. erwin Data Modeler supports a wide range of databases and cloud environments, providing a comprehensive view of data architecture to identify dependencies and optimize migration processes. Reduce the risk of data loss, minimize downtime and maintain data integrity throughout transitions with robust reverse engineering capabilities and simplified de-normalization/normalization across data sources.
Create detailed data models that visually clarify data structures and relationships. erwin Data Modeler enhances understanding and communication among stakeholders, leading to more informed decision-making and improved collaboration across the organization. Features include an intuitive, customizable user interface, the erwin ER360 visualization and collaboration portal, quick and efficient complete compare functionality and erwin Mart cloud SaaS options.
Optimize database performance across your organization by enabling efficient design, development and validation through advanced data modeling tools. Reduce development time and costs, ensure scalability and create database architectures that are easier to maintain for better performance and long-term efficiency. Take advantage of enhanced NoSQL denormalization automation, standardized data architecture and bulk editing capabilities for large data model components.