Using the CData ODBC Driver for Pinecone in PyCharm

The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for Pinecone from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.

To begin, this tutorial will assume that you have already installed the CData ODBC Driver for Pinecone as well as PyCharm.

Add Pyodbc to the Project

Follow the steps below to add the pyodbc module to your project.

1. Click File -> Settings to open the project settings window.
2. Click Project Interpreter from the Project: YourProjectName menu.
3. To add pyodbc, click the + button and enter pyodbc.
4. Click Install Package to install pyodbc.

Connect to Pinecone

You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.

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';

Below is the syntax for a DSN:

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

Execute SQL to Pinecone

Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.

import pyodbc

cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for API};Profile = C:\profiles\Pinecone.apip;AuthScheme = APIKey;ProfileSettings = 'APIKey = your_api_key;APIVersion = 2025-10';')
cursor = cnxn.cursor()
cursor.execute("SELECT , FROM Indexes WHERE Name = 'my-index'")
rows = cursor.fetchall()
for row in rows:
 print(row., row.)

After connecting to Pinecone in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Pinecone data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].