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Python

Azure Active Directory Python Connector

Read, write, and update Microsoft Entra ID with Python

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

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CData Drivers now work with AI Coding tools

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

Features

Fully compatible with all hosted versions of Microsoft Entra ID
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 Microsoft Entra ID data, for real-time data access with the Microsoft Entra ID ODBC 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 Microsoft Entra ID Connector.

Specifications

Python Database API (DB-API) Modules for Microsoft Entra ID with bi-directional access.
Write SQL, get Microsoft Entra ID data. Access Microsoft Entra ID 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 Microsoft Entra ID

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


Connecting to Microsoft Entra ID with Python

CData Python Connectors leverage the Database API (DB-API) interface to make it easy to work with Microsoft Entra ID 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 Microsoft Entra ID
  • Query Microsoft Entra ID to retrieve or update data
  • Connect your Microsoft Entra ID data with Python data tools.


Connecting to Microsoft Entra ID 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.azureactivedirectory as mod
conn = mod.connect("[email protected]; Password=password;")

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

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

df.plot()
plt.show()

Visualize Microsoft Entra ID Data with pandas

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

More than read-only: full update/CRUD support

Microsoft Entra ID Connector goes beyond read-only functionality to deliver full support for Create, Read Update, and Delete operations (CRUD). Your end-users can interact with the data presented by the Microsoft Entra ID Connector as easily as interacting with a database table.

AI-assisted development with CData CLI

Build Microsoft Entra ID integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Microsoft Entra ID 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 Microsoft Entra ID.

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