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Execute MySQL queries against live MongoDB data from MySQL Workbench.
You can use the SQL Gateway from the ODBC Driver for MongoDB to query MongoDB data through a MySQL interface. Follow the procedure below to start the MySQL remoting service of the SQL Gateway and work with live MongoDB data in MySQL Workbench.
About MongoDB Data Integration
Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:
- Access data from MongoDB 2.6 and above, ensuring broad usability across various MongoDB versions.
- Easily manage unstructured data thanks to flexible NoSQL (learn more here: Leading-Edge Drivers for NoSQL Integration).
- Leverage feature advantages over other NoSQL drivers and realize functional benefits when working with MongoDB data (learn more here: A Feature Comparison of Drivers for NoSQL).
MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.
For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.
Getting Started
Connect to MongoDB Data
If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.
Configure the SQL Gateway
See the SQL Gateway Overview to set up connectivity to MongoDB data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.
Query MongoDB from MySQL Workbench
The steps below outline connecting to the virtual MongoDB database created in the SQL Gateway from MySQL Workbench and issuing basic queries to work with live MongoDB data.
Connect to MongoDB through the SQL Gateway
- In MySQL Workbench, click to add a new MySQL connection.
- Name the connection (CData SQL Gateway for MongoDB).
- Set the Hostname, Port, and Username parameters to connect to the SQL Gateway.
- Click Store in Vault to set and store the password.
- Click Test Connection to ensure the connection is configured properly and click OK.
NOTE: When we refer to Username and Password, we mean the credentials for the user(s) created for the SQL Gateway.

Query MongoDB Data
- Open the connection you just created (CData SQL Gateway for MongoDB).
- Click File -> New Query Tab.
- Write a SQL query to retrieve MongoDB data, like SELECT * FROM `CData MongoDB Sys`.restaurants;

With access to live MongoDB data from MySQL Workbench, you can easily query and update MongoDB, just like you would a MySQL database. Get started now with a free, 30-day trial of the CData ODBC Driver for MongoDB and the CData SQL Gateway.