Use JayDeBeApi to access Pinecone Data in Python

Access Pinecone data with Python scripts and standard SQL on any machine where Python and Java can be installed. You can use the CData API Driver for JDBC and the JayDeBeApi module to work with remote Pinecone data in Python. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular Python language. This article shows how to use the driver to execute SQL queries to Pinecone and visualize Pinecone data with standard Python.

Use the JayDeBeApi module

JayDeBeApi is a Python library that serves as a JDBC (Java Database Connectivity) bridge, allowing Python programs to interact with Java databases, including CData JDBC Drivers. Use the pip install command to install the module:

pip install JayDeBeApi

Create the JDBC URL

Once you have JayDeBeApi installed, you are ready to work with Pinecone data in Python using SQL.

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';

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Pinecone JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.api.jar

Fill in the connection properties and copy the connection string to the clipboard.

Below is a sample variable assignment, including a typical JDBC connection string:

jdbc_url = "jdbc:api:Profile=C:\profiles\Pinecone.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key;APIVersion=2025-10';"

Access Pinecone data in Python

With the JDBC URL configured, you only need the absolute path to the JDBC driver JAR file, which is in the "lib" folder in the installation directory ("C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.api.jar" on Windows).

NOTE: If you haven't already, set the JAVA_HOME environment variable to the Java installation directory.

Use code similar to the follow to read and print data from Pinecone:

import jaydebeapi

#The JDBC connection string
jdbc_url = "jdbc:api:Profile=C:\profiles\Pinecone.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key;APIVersion=2025-10';"

username = "****"
password = "****"

#The absolute Path to the JDBC driver JAR file, typically:
jdbc_driver_jar = "C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.api.jar"

conn = jaydebeapi.connect(
   "cdata.jdbc.api.APIDriver",
   jdbc_url,
   [username, password],
   jdbc_driver_jar,
)

cursor = conn.cursor()
cursor.execute("SELECT * FROM Indexes;")


results = cursor.fetchall()
for row in results:
    print(row)

cursor.close()
conn.close()

Free trial & more information

Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Pinecone data in Python. Reach out to our Support Team if you have any questions.