View Reports on Real-Time Pinecone Data in Power BI Report Server

With built-in support for ODBC on Microsoft Windows, CData ODBC Drivers provide self-service integration with self-service analytics tools, such as Microsoft Power BI. The CData ODBC Driver for Pinecone links your Power BI reports to operational Pinecone data. You can monitor Pinecone data through dashboards and ensure that your analysis reflects Pinecone data in real time by scheduling refreshes or refreshing on demand. This article details how to use the ODBC driver to create real-time visualizations of Pinecone data in Microsoft Power BI Desktop and then publish the visualizations to Power BI Report Server.

The CData ODBC Drivers offer unmatched performance for interacting with live Pinecone data in Power BI due to optimized data processing built into the driver. When you issue complex SQL queries from Power BI to Pinecone, the driver pushes supported SQL operations, such as filters and aggregations, directly to Pinecone and uses 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 Power BI data types.

Connect to Pinecone as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC data source name (DSN). 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 publish Power BI reports from Power BI Desktop to Power BI Report Server, you will need to install the ODBC Driver on both the client (desktop) and server machines, using the same name for the DSN on each machine.

Authentication

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.

Using 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:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your API key from Pinecone.

Example connection strings:

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.

👁 Configuring a DSN (NetSuite is shown).

After creating a DSN, follow the steps below to connect to the Pinecone DSN from Power BI Desktop:

1. Open Power BI Desktop and click Get Data -> ODBC. To start Power BI Desktop from PowerBI.com, click the download button and then click Power BI Desktop.
2. Select a System DSN in the menu (necessary to publish to a Power BI Report Server). If you know the SQL query you want to use to import, expand the Advanced Options node and enter the query in the SQL Statement box. 👁 Selecting a System DSN
   
3. Select tables in the Navigator dialog. 👁 The available tables. (NetSuite is shown.)
   

4. Click Edit to edit the query. The table you imported is displayed in the Query Editor. In the Query Editor, you can enrich your local copy of Pinecone data with other data sources, pivot Pinecone columns, and more. Power BI detects each column's data type from the Pinecone metadata retrieved by the driver.

   Power BI records your modifications to the query in the Applied Steps section, adjusting the underlying data retrieval query that is executed to the remote Pinecone data. When you click Close and Apply, Power BI executes the data retrieval query.

   Otherwise, click Load to pull the data into Power BI.

Create Data Visualizations

After pulling the data into Power BI, you can create data visualizations in the Report view by dragging fields from the Fields pane onto the canvas. Follow the steps below to create a pie chart:

1. Select the pie chart icon in the Visualizations pane.
2. Select a dimension in the Fields pane, for example, .
3. Select a measure in the in the Fields pane, for example, . You can modify the visualization and the data used with the following techniques:
   • Change sort options by clicking the ellipsis (...) button for the chart. Options to select the sort column and change the sort order are displayed.
   • Use both highlighting and filtering to focus on data. Filtering removes unfocused data from visualizations; highlighting dims unfocused data. Highlight fields by clicking them.
   • Apply filters at the page level, at the report level, or to a single visualization by dragging fields onto the Filters pane. To filter on the field's value, select one of the values that are displayed in the Filters pane.
   👁 A pie chart showing Entity_Name and Total from the NetSuite SalesOrder table.
   
4. Click Refresh to synchronize your report with any changes to the data and save your Power BI report to the client machine.

Upload Pinecone Data Reports to Power BI Report Server

You can share reports based on ODBC data sources with other Power BI users in your organization using a Power BI Report Server.

1. Install and configure the ODBC Driver for Pinecone on the report server (see the instructions above).
2. Log into the report server (typically found at http://MYSERVER/reports), click to upload a new report and select the report you just saved. 👁 Uploading the Power BI Report to Power BI Report Server using the Web Portal.
   
3. View the Pinecone report from any machine with access to the Report Server. 👁 Viewing the published report from the Report Server.