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Python

Zuora Python Connector

SQL-based access to Zuora from Python

Easily connect Python-based data access, visualization, ORM, ETL, AI/ML, and custom apps with Zuora!

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CData Drivers now work with AI Coding tools

Python Connector Libraries for Zuora Data Connectivity. Integrate Zuora with popular Python tools like Pandas, SQLAlchemy, Dash & petl. Easy-to-use Python Database API (DB-API) Modules connect Zuora data with Python and any Python-based applications.

Features

Fully compatible with the Zuora API, AQuA API, & Data Export API
Powerful metadata querying enables SQL-like access to non-database sources
Push down query optimization pushes SQL operations down to the server whenever possible, increasing performance
Client-side query execution engine, supports SQL-92 operations that are not available server-side
Connect to live Zuora data, for real-time data access with the Zuora JDBC Driver
Full support for data aggregation and complex JOINs in SQL queries
Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the Zuora Connector.

Specifications

Python Database API (DB-API) Modules for Zuora .
Write SQL, get Zuora data. Access Zuora through standard Python Database Connectivity.
Integration with popular Python tools like Pandas, SQLAlchemy, Dash & petl.
Full Unicode support for data, parameter, & metadata.

CData Python connectors in action!

Watch the video overview for a first hand-look at the powerful data integration capabilities included in the CData Python Connectors.

Watch the Python Connector Video Overview

Python connectivity with Zuora

Full-featured and consistent SQL access to any supported data source through Python


Connecting to Zuora with Python

CData Python Connectors leverage the Database API (DB-API) interface to make it easy to work with Zuora from a wide range of standard Python data tools. Connecting to and working with your data in Python follows a basic pattern, regardless of data source:

  • Configure the connection properties to Zuora
  • Query Zuora to retrieve or update data
  • Connect your Zuora data with Python data tools.


Connecting to Zuora in Python

To connect to your data from Python, import the extension and create a connection:

Once you import the extension, you can work with all of your enterprise data using the python modules and toolkits that you already know and love, quickly building apps that help you drive business.

import cdata.zuora as mod
conn = mod.connect("[email protected]; Password=password;")

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM Tables")
	
rs = cur.fetchall()
	
for row in rs:
print(row)
		
engine = create_engine("zuora///Password=password&User=user")

df = pandas.read_sql("SELECT * FROM Tables", engine)

df.plot()
plt.show()

Visualize Zuora Data with pandas

The data-centric interfaces of the Zuora Python Connector make it easy to integrate with popular tools like pandas and SQLAlchemy to visualize data in real-time.

AI-assisted development with CData CLI

Build Zuora integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Zuora schema. No more guessing table names or column types—AI sees the same metadata in your Python Connectors.

Your AI Knows SQL

How to find table names, column names, and how to generate SQL syntax are things that AI knows well from millions of training data. No need for customization, no hallucinations. Your AI acts like a domain specialist to Zuora.

More Accurate, More Token-Efficient

With CData CLI's queryable schema detection and highly efficient queries with filters, aggregation, joins with correct pushdown, your AI will achieve more accuracy with less token usage.

Supported AI Coding Tools
Download CData CLI