Design & Manage Your MongoDB Databases with DbSchema
DbSchema is the only tool that lets you visualize and design MongoDB structures using intuitive diagrams. You can create multiple diagrams, each tailored to your needed collections, making database management more organized and efficient.
It supports large databases with over 10,000 collections and comes with powerful features like editing validation rules, building queries visually, and generating random data for testing.
You can also compare and deploy validation rules across multiple MongoDB databases, ensuring consistency with minimal effort.
Plus, DbSchema generates interactive HTML5 documentation, making it easy to share and collaborate on your database structure.
Download
First, you have to Download DbSchema the desktop app for free and enjoy a 30-day Pro trial to explore all features!
It is available on Windows, macOS, and Linux.
Then, read this documentation to learn how to use the most important features in DbSchema.
Features Overview
- How to Connect to MongoDB
- Insert JSON Document
- Reverse Engineer the Structure
- Design the Structure Visually
- Validation Rules
- Virtual Relationships
- Explore Data Relationships
- Generate HTML5 Documentation
- Build the Querry Visually
- Generate Random Data
- JSON Query Editor
- Synchronize the Structure
How to Connect to MongoDB
DbSchema connects to MongoDB using a JDBC driver, which is automatically downloaded.
The Connection Dialog offers multiple connection methods for MongoDB.
Choose the one that suits you best and enter the required credentials.
Reverse Engineer the Structure
Connect to any cloud, remote, or on-premise MongoDB instance, extract the collection structure, and visualize it using interactive diagrams. Save the structure design as an XML file with a .dbs extension, which can be edited with any text editor.
Insert JSON Document in the Database
If you don’t have an existing database, start by inserting JSON documents to create collections. Import JSON files or add documents manually to begin designing your schema and exploring data.
Design the Structure Visually
Easily design your MongoDB structure using an intuitive drag-and-drop interface. Reverse engineer collections and relationships, or create new collections directly from the diagram.
You can define virtual foreign keys to better represent relationships, work with multiple diagrams for different perspectives, and add comments and tags to keep your schema well-documented and organized.
Validation Rules to Manage Collection Structure
Define validation rules to ensure collections follow the specified structure. Set the validation level and action to control how strictly the rules are enforced.
Collections without validation rules are marked with a virtual symbol, allowing flexibility in schema design while maintaining structure where needed.
Virtual Relationships
If there is a relationship between two collections, one collection can reference another through an object ID, like a numeric ID (for example). This is visually represented as a line between the collections, just like in relational databases. However, it’s virtual in DbSchema, to help you understand the schema structure but doesn’t actually exist in the database itself.
Explore Data Relationships
View data from collections and quickly navigate through related sub-documents or references, making it easier to understand your data structure.
Virtual references help the Data Explorer display data from multiple collections at once, allowing you to efficiently work with connected records.
Generate HTML5 Documentation
Create an interactive HTML5 diagram of your MongoDB structure with vector graphics, mouse-over tooltips for comments and tags, and a built-in search function. Easily share the documentation across your team’s network. You can also generate PDF or Markdown Documentation.
To explore a sample of our interactive database diagram for MongoDB, go to the official post on https://dbschema.com/2025/02/21/mongodb/mongodb-database-diagram/#html5-documentation
Build MongoDB Queries Visually (Only with the Mouse)
Create MongoDB queries through a visual interface using related virtual relationships. Apply filters, conditions, and aggregation functions, then press RUN.
DbSchema will automatically generate the corresponding JSON query for you.
View the query results in a table format, which can be easily exported to multiple formats such as Excel, CSV, JSON, XML, and more.
Generate Random Data
Populate MongoDB collections with randomly generated data using customizable patterns or regular expressions. This feature is ideal for testing and development purposes, allowing you to quickly simulate real-world data.
JSON Query Editor
Write and execute queries quickly using an intuitive text editor. Features like auto-completion, syntax highlighting, and query validation help you write efficient queries without errors.
Synchronize the Structure
Compare your design model with MongoDB instances and synchronize validation rules. Generate migration scripts to apply validation updates while keeping the rest of your schema flexible.
Conclusion
DbSchema makes it easy to design and manage MongoDB databases with visual tools for structure modeling, query building, and validation. Whether you're working with an existing database or starting from scratch, you can create diagrams, set validation rules, and generate interactive documentation.
With support for large databases, easy validation rule synchronization, and an intuitive interface, DbSchema helps you keep your database organized and simple to maintain.
Top comments (1)
I tried this tool, and it is amazing what it can do for this MongoDB.
Good job, I hope you will bring new features too!