Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →
Using the CData ODBC Driver for SAP HANA in PyCharm
Connect to SAP HANA as an ODBC data source in PyCharm using the CData ODBC Driver for SAP HANA.
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 SAP HANA 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 SAP HANA 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 SAP HANA
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.
Set the Server, Database and Port properties to specify the address of your SAP Hana database to interact with. Set the User and the Password properties to authenticate to the server.
Below is the syntax for a DSN:
[CData SAPHANA Source]
Driver = CData ODBC Driver for SAP HANA
Description = My Description
User = system
Password = mypassword
Server = localhost
Database = systemdb
Execute SQL to SAP HANA
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 SAPHANA};User = system;Password = mypassword;Server = localhost;Database = systemdb;')
cursor = cnxn.cursor()
cursor.execute("SELECT Name, OwnerId FROM Buckets WHERE Name = 'TestBucket'")
rows = cursor.fetchall()
for row in rows:
print(row.Name, row.OwnerId)
After connecting to SAP HANA in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to SAP HANA 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 SAP HANA ODBC Driver to get started:
Download NowLearn more:
SAP HANA ODBC Driver
The SAP HANA ODBC Driver is a powerful tool that allows you to connect with SAP HANA, directly from any applications that support ODBC connectivity.
Access SAP HANA databases from virtually anywhere through a standard ODBC Driver interface.
