Prepare, Blend, and Analyze MySQL Data in Alteryx Designer

Ready to get started?

Download for a free trial:

Download Now

Learn more:

MySQL ODBC Driver

The MySQL ODBC Driver is a powerful tool that allows you to connect with live MySQL data, directly from any applications that support ODBC connectivity.

Access MySQL databases from virtually anywhere through a standard ODBC Driver interface.



Build workflows to access live MySQL data for self-service data analytics.

The CData ODBC Driver for MySQL enables access to live data from MySQL under the ODBC standard, allowing you work with MySQL data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to MySQL data using an ODBC connection in Alteryx Designer to perform self-service BI, data preparation, data blending, and advanced analytics.

The CData ODBC drivers offer unmatched performance for interacting with live MySQL data in Alteryx Designer due to optimized data processing built into the driver. When you issue complex SQL queries from Alteryx Designer to MySQL, the driver pushes supported SQL operations, like filters and aggregations, directly to MySQL 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 MySQL data using native Alteryx data field types.

Connect to MySQL Data

  1. 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.

    The Server and Port properties must be set to a MySQL server. If IntegratedSecurity is set to false, then User and Password must be set to valid user credentials. Optionally, Database can be set to connect to a specific database. If not set, tables from all databases will be returned.

    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.

  2. Open Alteryx Designer and create a new workflow.
  3. Drag and drop a new input data tool onto the workflow.
  4. Click the new input data tool and under Connect a File or Database, select Database Connection -> New ODBC Connection.
  5. Select the DSN that you configured for use in Alteryx.
  6. In the wizard that opens, select the fields you wish to include in your query. Where possible, the complex queries generated by the filters and aggregations will be pushed down to MySQL, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the driver.
  7. If you wish to further customize your dataset, you can open the SQL Editor and modify the query manually, adding clauses, aggregations, and other operations to ensure that you are retrieving exactly the MySQL data you want.

With the query defined, you are ready to work with MySQL data in Alteryx Designer.

Perform Self-Service Analytics on MySQL Data

You are now ready to create a workflow to prepare, blend, and analyze MySQL data. The CData ODBC Driver performs dynamic metadata discovery, presenting data using Alteryx data field types and allowing you to leverage the Designer's tools to manipulate data as needed and build meaningful datasets. In the example below, you will cleanse and browse data.

  1. Add a data cleansing tool to the workflow and check the boxes in Replace Nulls to replace null text fields with blanks and replace null numeric fields with 0. You can also check the box in Remove Unwanted Characters to remove leading and trailing whitespace.
  2. Add a browse data tool to the workflow.
  3. Click to run the workflow (CTRL+R).
  4. Browse your cleansed MySQL data in the results view.

Thanks to built-in, high-performance data processing, you will be able to quickly cleanse, transform, and/or analyze your MySQL data with Alteryx.