erwin DM NoSQL is a SaaS-based application that provides an Integrated Development Environment to allow you to model, reverse engineer, or create new NoSQL databases.
erwin DM NoSQL gives business and technical stakeholders a complete and contextual view of their NoSQL assets. Users can then discover, visualize, document, design, and deploy NoSQL instances in an efficient and cost-effective way, mitigating the risks inherent to managing mission-critical data assets.
erwin DM NoSQL migrates traditional database models to NoSQL databases by importing a traditional relational erwin data model and automates the transformation to a cloud based collection structure, using its patent pending Query Optimized Modeling construct. On premise to cloud migration speeds are increased while providing a NoSQL implementation and required enterprise data documentation.
A web-based tool, erwin DM NoSQL enables your team to work from anywhere. The intuitive interface ensures all users are effective and capable with NoSQL design, ensuring faster time-to-value for your NoSQL investments.
erwin DM NoSQL provides Query Optimized Modeling guided de-normalization options that users can choose to transform traditional data models and logical data designs into rich, visual NoSQL models that can be used to represent and engineer NoSQL databases.
Once your physical design is created, erwin DM NoSQL automates the creation of JSON-like document definition scripts that can be used to instantiate your NoSQL database, allowing for the efficient, accurate deployment of NoSQL designs into your hosted environment.
erwin DM NoSQL provides a connection manager to your hosted NoSQL instances, enabling the automated creation of NoSQL models from data source definitions previously deployed in NoSQL based on statistical data analysis.
erwin DM NoSQL allows you to specify relationships between data elements within your NoSQL model for documentation and analysis. These relationships will guide developers and users in better understanding data value chains and analysis. These relationships exist naturally but are not explicitly implemented in the unstructured data management environment.
erwin DM NoSQL supports the creation and maintenance of embedded collections, as well as reference collections in support of scenario analysis to identify the structure required.