/
/
Python

Microsoft OneDrive Python Connector

SQL-based access to Microsoft OneDrive from Python

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

Decorative Icon Microsoft OneDrive Logo
Claude
Claude
GitHub Copilot
Gemini
New
CData Drivers now work with AI Coding tools

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

Features

Fully compatible with the OneDrive REST API
Use SQL Stored Procedures to perform actions like creating folders, uploading resources, downloading files, and more
Connect to live Microsoft OneDrive data, for real-time data access with the Microsoft OneDrive 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 Microsoft OneDrive Connector.

Specifications

Python Database API (DB-API) Modules for Microsoft OneDrive .
Write SQL, get Microsoft OneDrive data. Access Microsoft OneDrive through standard Python Database Connectivity.
Integration with popular Python tools like Pandas, SQLAlchemy, Dash & petl.
Simple command-line based data exploration of Microsoft OneDrive Files, Changes, Apps, and more!
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 OneDrive

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


Connecting to Microsoft OneDrive with Python

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


Connecting to Microsoft OneDrive 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.onedrive as mod
conn = mod.connect("[email protected]; Password=password;")

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

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

df.plot()
plt.show()

Visualize Microsoft OneDrive Data with pandas

The data-centric interfaces of the Microsoft OneDrive 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 Microsoft OneDrive integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Microsoft OneDrive 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 OneDrive.

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