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Get the Report →Using the CData ODBC Driver for PostgreSQL in PyCharm
Connect to PostgreSQL as an ODBC data source in PyCharm using the CData ODBC Driver for PostgreSQL.
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 PostgreSQL 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 PostgreSQL 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 PostgreSQL
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.
To connect to PostgreSQL, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the data provider connects to the user's default database.
Below is the syntax for a DSN:
[CData PostgreSQL Source]
Driver = CData ODBC Driver for PostgreSQL
Description = My Description
User = postgres
Password = admin
Database = postgres
Server = 127.0.0.1
Port = 5432
Execute SQL to PostgreSQL
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 PostgreSQL};User = postgres;Password = admin;Database = postgres;Server = 127.0.0.1;Port = 5432;')
cursor = cnxn.cursor()
cursor.execute("SELECT ShipName, ShipCity FROM Orders WHERE ShipCountry = 'USA'")
rows = cursor.fetchall()
for row in rows:
print(row.ShipName, row.ShipCity)
After connecting to PostgreSQL in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to PostgreSQL data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].