Visual modeling

of MongoDB schemas

Design and publish your MongoDB

schemas in 3 easy steps

Design your collections

Define field names, types, descriptions, and constraints, using a visual tree diagram representation of the JSON Schema description.

Link your collections logically

Keep track of relationships and denormalization in an Entity Relationship diagram

Publish documentation and validation scripts

Produce human-readable docs in HTML, Markdown, PDF or RTF. Generate MongoDB 3.2 Validator or Mongoose schemas


Leverage the power of visual modeling software

Evaluate alternatives, recognize potential hurdles early to reduce rework later. Facilitate troubleshooting and evolution to respond to growth and customer needs.

Facilitate data governance

Leverage the new Validator just introduced with MongoDB 3.2. And compensate for the usual lack of native referential integrity of NoSQL document databases..

Engage the dialog between analysts, architects, designers, developers, and DBAs

Data structures and relationships don't have to be buried in application code. They can also be available to the teams for a 360° view of the system landscape.

Powerful tool to document

your MongoDB schemas
Friendly user interface
Visual model navigation
Graphic collection tree view editing
Specifically designed for MongoDB and the nesting of sub-objects
Reverse- and forward engineering of data models
Generate MongoDB 3.2+ Validator scripts and Mongoose schemas
Produce human-readable documentation in HTML, PDF or RTF format
Runs on Windows, Mac, Linux

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