Cosmos DB Python Connector

Connecting to Cosmos DB with Python

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

Connecting to Cosmos DB in Python

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

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

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM DocumentDB")
 
rs = cur.fetchall()
 
for row in rs:
print(row)

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.

Visualize Cosmos DB Data with pandas

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

engine = create_engine("cosmosdb///Password=password&User=user")

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

df.plot()
plt.show()

More Than Read-Only: Full Update/CRUD Support

Cosmos DB 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 Cosmos DB Connector as easily as interacting with a database table.