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

Features

• Compatible with Microsoft Dynamics CRM 2011+ Services and Dynamics CRM Online
• 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 Dynamics CRM data, for real-time data access
• 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

Specifications

• Python Database API (DB-API) Modules for Dynamics CRM with bi-directional access.
• Write SQL, get Microsoft Dynamics CRM data. Access Dynamics CRM through standard Python Database Connectivity.
• Integration with popular Python tools like Pandas, SQLAlchemy, Dash & petl.
• Simple command-line based data exploration of Dynamics CRM Leads, Contacts, Opportunities, Accounts, and more!
• Full Unicode support for data, parameter, & metadata.

Connecting to Dynamics CRM with Python

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

Connecting to Dynamics CRM in Python

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

import cdata.dynamics crm as mod
conn = mod.connect("User=user@domain.com; Password=password;")
 
#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM Leads")
 
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 Dynamics CRM Data with pandas

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

engine = create_engine("dynamics crm///Password=password&User=user")
 
df = pandas.read_sql("SELECT * FROM Leads", engine)
 
df.plot()
plt.show()

More Than Read-Only: Full Update/CRUD Support

Dynamics CRM 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 Dynamics CRM Connector as easily as interacting with a database table.

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.

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