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The CData ODBC drivers expand your ability to work with data from hundreds of 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 Pinecone data using the CData ODBC driver and create data visualizations in QlikView.
The CData ODBC drivers offer unmatched performance for interacting with live Pinecone data in QlikView due to optimized data processing built into the driver. When you issue complex SQL queries from QlikView to Pinecone, the driver pushes supported SQL operations, like filters and aggregations, directly to Pinecone 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 Pinecone data using native QlikView data types.
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.
To authenticate to Pinecone, and connect to your own data or to allow other users to connect to their data, you can use API Key authentication.
To authenticate using an API Key, you need to obtain your API Key from your Pinecone console at https://app.pinecone.io/.
You can then connect by setting the AuthScheme to APIKey and providing your API key:
Standard API Key Configuration:
Profile=C:\profiles\Pinecone.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key;APIVersion=2025-10';
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.
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 , FROM Indexes WHERE Name = 'my-index'
ODBC CONNECT TO [CData API Sys];
SQL SELECT , FROM Indexes WHERE Name = 'my-index';
Where possible, the SQL operations in the query, like filters and aggregations, will be pushed down to Pinecone, 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.
👁 A script that connects and executes an SQL query. (Salesforce is shown.)Finish the wizard to generate the chart. The CData ODBC Driver for Pinecone connects to live Pinecone 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.
👁 A chart populated with the results of a query. (Salesforce is shown.)Connect to live data from Pinecone with the API Driver
Connect to Pinecone