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Get the Report →Query MongoDB Data in MySQL Workbench
Create a virtual MySQL database for MongoDB data in CData Connect (or Connect Server) and work with live MongoDB data in MySQL Workbench.
MySQL Workbench allows users to administer MySQL environments and gain better visibility into databases. When paired with CData Connect (on-premise or Connect Server), you get live access to MongoDB data as if it were a MySQL database. This article shows how to create a virtual database for MongoDB in Connect 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
Create a Virtual MySQL Database for MongoDB Data
CData Connect uses a straightforward, point-and-click interface to connect to data sources and generate APIs.
- Login to Connect and click Connections.
- Select "MongoDB" from Available Data Sources.
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Enter the necessary authentication properties to connect to MongoDB.
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.
- Click Save Changes
- Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.
With the virtual database created, you are ready to connect to MongoDB from MySQL Workbench.
Query MongoDB from MySQL Workbench
The steps below outline connecting to the virtual MongoDB database in Connect from MySQL Workbench and issuing basic queries to work with live MongoDB data.
Connect to MongoDB through Connect
- In MySQL Workbench, click to add a new MySQL connection.
- Name the connection (CData Connect).
- 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.
Query MongoDB Data
- Open the connection you just created (CData Connect).
- Click File -> New Query Tab.
- Write a SQL query to retrieve MongoDB data, like SELECT * FROM mongodbdb.restaurants;
With access to live MongoDB data from MySQL Workbench, you can easily query and update MongoDB, just like you would a MySQL database. Request a demo of the CData Connect and start working with MongoDB just like a MySQL database today.