Learn more
 

Ready to get started?

Download a free trial of the Neo4J Driver to get started:

 Download Now

Learn more:

Neo4J Icon Neo4J JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Neo4J.

In this article

Related articles

Use JayDeBeApi to access Neo4J Data in Python


Use standard Python scripting and the development environment of your choice to access live Neo4J data.

Access Neo4J data with Python scripts and standard SQL on any machine where Python and Java can be installed. You can use the CData JDBC Driver for Neo4J and the JayDeBeApi module to work with remote Neo4J data in Python. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular Python language. This article shows how to use the driver to execute SQL queries to Neo4J and visualize Neo4J data with standard Python.

Use the JayDeBeApi module

JayDeBeApi is a Python library that serves as a JDBC (Java Database Connectivity) bridge, allowing Python programs to interact with Java databases, including CData JDBC Drivers. Use the pip install command to install the module:

pip install JayDeBeApi

Create the JDBC URL

Once you have JayDeBeApi installed, you are ready to work with Neo4J data in Python using SQL.

To connect to Neo4j, set the following connection properties:

  • Server: The server hosting the Neo4j instance.
  • Port: The port on which the Neo4j service is running. The provider connects to port 7474 by default.
  • User: The username of the user using the Neo4j instance.
  • Password: The password of the user using the Neo4j instance.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Neo4J JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.neo4j.jar

Fill in the connection properties and copy the connection string to the clipboard.

Below is a sample variable assignment, including a typical JDBC connection string:

jdbc_url = "jdbc:neo4j:Server=localhost;Port=7474;User=my_user;Password=my_password;"

Access Neo4J data in Python

With the JDBC URL configured, you only need the absolute path to the JDBC driver JAR file, which is in the "lib" folder in the installation directory ("C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.neo4j.jar" on Windows).

NOTE: If you haven't already, set the JAVA_HOME environment variable to the Java installation directory.

Use code similar to the follow to read and print data from Neo4J:

import jaydebeapi #The JDBC connection string jdbc_url = "jdbc:neo4j:Server=localhost;Port=7474;User=my_user;Password=my_password;" username = "****" password = "****" #The absolute Path to the JDBC driver JAR file, typically: jdbc_driver_jar = "C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.neo4j.jar" conn = jaydebeapi.connect( "cdata.jdbc.neo4j.jar", jdbc_url, [username, password], jdbc_driver_jar, ) cursor = conn.cursor() cursor.execute("SELECT * FROM ProductCategory;") results = cursor.fetchall() for row in results: print(row) cursor.close() conn.close()

Free trial & more information

Download a free, 30-day trial of the CData JDBC Driver for Neo4J and start working with your live Neo4J data in Python. Reach out to our Support Team if you have any questions.