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Create dynamic dashboards and perform analytics based on MongoDB data in Dundas BI.
The CData ODBC Driver for MongoDB enables access to live data from MongoDB under the ODBC standard, allowing you work with MongoDB data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to MongoDB data as a generic ODBC Data Provider and create charts, reports, and dashboards based on MongoDB data in Dundas BI.
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 configure the DSN using the built-in Microsoft ODBC Data Source Administrator. 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.
When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
- Open the Dundas BI interface, open the menu, and click New Data Connector.
- Configure the Dundas BI Data Connector:
- Name the Data Connector.
- Select "ODBC generic" as the Data Provider.
- Check the "Use System DSN" checkbox.
- Select the appropriate System DSN.
Add MongoDB Data to a Dashboard
You are now ready to create a dashboard with MongoDB data.
- Navigate to the Home page.
- Click Explore Data.
- Expand the appropriate Data Connector.
- Drag the relevant data from the Connector to the panel.
- You can select an entire "table" to add, but you may need to remove Measures/Rows from the Metric Set to build an appropriate visualization. Alternatively, you can select only the fields you wish to include in the visualization.
- With the fields selected, you can add any filters or conditions on the Measures and Rows, further customizing the visualization.
- Click Re-visualize from the menu bar and select the appropriate visualization for the data.
- Click Add To New Dashboard to add the visualization to a new dashboard.
- Configure the dashboard, creating dynamic visualizations of MongoDB data.



