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Domo helps you manage, analyze, and share data across your entire organization, enabling decision makers to identify and act on strategic opportunities. Domo Workbench provides a secure, client-side solution for uploading your on-premise data to Domo. The CData ODBC Driver for MongoDB links Domo Workbench to operational MongoDB data. You can build datasets from MongoDB data using standard SQL queries in Workbench and then create real-time visualizations of MongoDB data in the Domo service.
The CData ODBC Drivers offer unmatched performance for interacting with live MongoDB data in Domo due to optimized data processing built into the driver. When you issue complex SQL queries from Domo to MongoDB, the driver pushes supported SQL operations, like filters and aggregations, directly to MongoDB and utilizes the embedded SQL Engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze MongoDB data using native Domo data types.
Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:
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.
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
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.
After creating a DSN, you will need to create a dataset for MongoDB in Domo Workbench using the MongoDB DSN and build a visualization in the Domo service based on the dataset.
You can follow the steps below to build a dataset based on a table in MongoDB in Domo Workbench using the CData ODBC Driver for MongoDB.
SELECT * FROM restaurantsNOTE: By connecting to MongoDB data using an ODBC driver, you simply need to know SQL in order to get your data, circumventing the need to know MongoDB-specific APIs or protocols.
With the dataset job run, the dataset will be accessible from the Domo service, allowing you to build visualizations, reports, and more based on MongoDB data.
With the DataSet Job saved and run in Domo Workbench, we are ready to build visualizations of the MongoDB data in the Domo service.
With the CData ODBC Driver for MongoDB, you can build custom datasets based on MongoDB data using only SQL in Domo Workbench and then build and share visualizations and reports through the Domo service.
Download a free trial of the MongoDB ODBC Driver to get started:
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π MongoDB IconThe MongoDB ODBC Driver is a powerful tool that allows you to connect with live MongoDB document databases, directly from any applications that support ODBC connectivity.
Access MongoDB like you would a database - read, write, and update through a standard ODBC Driver interface.