Use the CData ODBC Driver for Pinecone in SAS for Real-Time Reporting and Analytics

SAS is a software suite developed for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics. When you pair SAS with the CData ODBC Driver for Pinecone, you gain database-like access to live Pinecone data from SAS, expanding your reporting and analytics capabilities. This article explains how to create a library for Pinecone in SAS and create a simple report based on real-time Pinecone data.

The CData ODBC Driver offers unmatched performance for interacting with live Pinecone data in SAS due to optimized data processing built into the driver. When you issue complex SQL queries from SAS 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 easily visualize and analyze Pinecone data in SAS.

Connect to Pinecone as an ODBC Data Source

Information for connecting to Pinecone follows, along with different instructions for configuring a DSN in Windows and Linux environments (the ODBC Driver for Pinecone must be installed on the machine hosting the SAS System).

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.

Windows

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.

Linux

If you are installing the CData ODBC Driver for Pinecone in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.

/etc/odbc.ini

[CData API Sys]
Driver = CData ODBC Driver for Pinecone
Description = My Description
Profile = C:\profiles\Pinecone.apip
AuthScheme = APIKey
ProfileSettings = 'APIKey = your_api_key
APIVersion = 2025-10'

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Create a Pinecone Library in SAS

Connect to Pinecone in SAS by adding a library based on the CData ODBC Driver for Pinecone.

1. Open SAS and expand Libraries in the Explorer pane.
2. In the Active Libraries window, right-click and select New.
3. Name your library (odbclib), select ODBC as the Engine, and click to Enable at startup (if you want the library to persist between sessions).
4. Set Data Source to the DSN you previously configured and click OK. 👁 Creating a library for Pinecone in SAS.
   

Create a View from a Pinecone Query

SAS natively supports querying data either using a low-code, point-and-click Query tool or programmatically with PROC SQL and a custom SQL query. When you create a View in SAS, the defining query is executed each time the view is queried. This means that you always query live Pinecone data for reports, charts, and analytics.

Using the Query Tool

1. In SAS, click Tools -> Query
2. Select the table sources and the table(s) you wish to pull data from. Then, click OK. 👁 Selecting table(s) to visualize.
   
3. Select columns and right-click to add filtering, ordering, grouping, etc. 👁 Selecting columns(s) to visualize and configuring the query.
   
4. Create a local view to contain the query results by right-clicking the SQL Query Tool window, selecting Show Query, and clicking Create View. Name the View and click OK. 👁 Create a local view to work with Pinecone data.
   

Using PROC SQL

1. In SAS, navigate to the Editor window.
2. Use PROC SQL to query the data and create a local view.
   NOTE: This procedure creates a view in the Work library. You can optionally specify a library in the create view statement.

   proc sql;
    create view indexes_view as
    select 
    , 
    
    from 
    odbclib.indexes 
    where 
    Name = 'my-index';
   quit;
   

3. Click Run -> Submit to execute the query and create a local view.

Report On or Visualize Pinecone Data in SAS

With a local view created, you can report, visualize, or otherwise analyze Pinecone data using the powerful SAS features. Print a simple report using PROC PRINT and create a basic graph based on the data using PROC GCHART.

Print an HTML Report

1. In SAS, navigate to the Editor window.
2. Use PROC PRINT to print an HTML report for the Pinecone Indexes data.

   proc print data=indexes;
    title "Pinecone Indexes Data";
   run;
   

   👁 A simple Pinecone data report.
   

Print a Chart

1. In SAS, navigate to the Editor window.
2. Use PROC GCHART to create a chart for the Indexes data.

   proc gchart data=indexes;
    pie / sumvar=
    value=arrow
    percent=arrow
    noheading
    percent=inside plabel=(height=12pt)
    slice=inside value=none
    name='IndexesChart';
   run;
   

   👁 A simple Pinecone data chart.