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Using the CData ODBC Driver for Veeva Vault in PyCharm
Connect to Veeva Vault as an ODBC data source in PyCharm using the CData ODBC Driver for Veeva Vault.
The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for Veeva Vault from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.
To begin, this tutorial will assume that you have already installed the CData ODBC Driver for Veeva Vault as well as PyCharm.
Add Pyodbc to the Project
Follow the steps below to add the pyodbc module to your project.
- Click File -> Settings to open the project settings window.
- Click Project Interpreter from the Project: YourProjectName menu.
- To add pyodbc, click the + button and enter pyodbc.
- Click Install Package to install pyodbc.
Connect to Veeva Vault
You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.
You are ready to connect after specifying the following connection properties:
- Url: The host you see in the URL after you login to your account. For example: https://my-veeva-domain.veevavault.com
- User: The username you use to login to your account.
- Password: The password you use to login to your account.
Below is the syntax for a DSN:
[CData VeevaVault Source]
Driver = CData ODBC Driver for Veeva Vault
Description = My Description
User = myuser
Password = mypassword
Server = localhost
Database = mydatabase
Execute SQL to Veeva Vault
Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.
import pyodbc
cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for VeevaVault};User = myuser;Password = mypassword;Server = localhost;Database = mydatabase;')
cursor = cnxn.cursor()
cursor.execute("SELECT ProductId, ProductName FROM NorthwindProducts WHERE CategoryId = '5'")
rows = cursor.fetchall()
for row in rows:
print(row.ProductId, row.ProductName)
After connecting to Veeva Vault in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Veeva Vault data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at support@cdata.com.
Ready to get started?
Download a free trial of the Veeva ODBC Driver to get started:
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Veeva ODBC Driver
The Veeva ODBC Driver is a powerful tool that allows you to connect with live Veeva Vault & Vault CRM account data, directly from any applications that support ODBC connectivity.
Access Veeva data like you would a database - read, write, and update Documents, Users, Groups, etc. through a standard ODBC Driver interface.
