Connect to and Query IBM Informix Data in QlikView over ODBC

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IBM Informix ODBC Driver

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

Access IBM Informix data like you would a database - read, write, and update IBM Informix databases through a standard ODBC Driver interface.



Create data visualizations with IBM Informix data in QlikView.

The CData ODBC drivers expand your ability to work with data from more than 200 data sources. QlikView is a business discovery platform that provides self-service BI for all business users in an organization. This article outlines simple steps to connect to IBM Informix data using the CData ODBC driver and create data visualizations in QlikView.

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

Connect to IBM Informix as an ODBC Data Source

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 following properties to connect to IBM Informix

  • Server: Set this to the name of the server running IBM Informix.
  • Port: Set this to the port the IBM Informix server is listening on.
  • Database: Set this to the name of the IBM Informix database.
  • User: Set this to the username of a user allowed to access the database.
  • Password: Set this to the password of a user allowed to access the database.

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.

Populate a Chart with IBM Informix Data

The steps below supply the results of an SQL query to a visualization in QlikView. In this article, you will create a bar chart with the query below:

SELECT Id, Price FROM Books WHERE Category = 'US'
  1. Click File -> Edit Script (or click the Edit Script button in the Toolbar).
  2. On the Data tab, select ODBC in the Database menu and click Connect.
  3. Select the DSN (CData Informix Sys) in the resulting dialog. A command like the following is generated: ODBC CONNECT TO [CData Informix Sys];
  4. Enter the SQL query directly into the script with the SQL command (or click Select to build the query in the SELECT statement wizard). SQL SELECT Id, Price FROM Books WHERE Category = 'US';

    Where possible, the SQL operations in the query, like filters and aggregations, will be pushed down to IBM Informix, 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.

  5. Close the script editor and reload the document to execute the script.
  6. Click Tools -> Quick Chart Wizard. In the wizard, select the chart type. This example uses a bar chart. When building the chart, you have access to the fields from IBM Informix, typed appropriately for QlikView, thanks to built-in dynamic metadata querying.
  7. When defining Dimensions, select Id in the First Dimension menu.
  8. When defining Expressions, click the summary function you want and select Price in the menu.
  9. Finish the wizard to generate the chart. The CData ODBC Driver for IBM Informix connects to live IBM Informix data, so the chart can be refreshed to see real-time changes. Live connections are possible and effective, thanks to the high-performance data processing native to CData ODBC Drivers.