How to Use CData Connect to Access Live Neo4J Data in Power Automate

CData Connect enables you to access live Neo4J data in workflow automation tools like Power Automate. This article shows how to integrate Neo4J data into a simple workflow, moving Neo4J data into a CSV file.

CData Connect provides a pure SQL interface for Neo4J, allowing you to easily integrate with live Neo4J data in Power Automate — without replicating the data. Connect looks exactly like a SQL Server database to Power Automate and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Neo4J, leveraging server-side processing to quickly return Neo4J data.

Create a Virtual SQL Database for Neo4J Data

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

1. Log into Connect Server and click Connections.
2. Select "Neo4J" from Available Data Sources.
3. Enter the necessary authentication properties to connect to Neo4J.

   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.
4. Click Save Changes
5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

How to Integrate Neo4J Data into Power Automate Workflows

After configuring CData Connect with Neo4J, you are ready to integrate Neo4J data into your Power Automate workflows. Open Microsoft Power Automate, add a new flow, and name the flow.

In the flow editor, you can add the actions to connect to Neo4J, query Neo4J using SQL, and write the query results to a CSV document.

Add an Open SQL Connection Action

Add an "Open SQL connection" action (Actions -> Database) and click the option to build the Connection string. In the Data Link Properties wizard:

1. On the Provider tab: select Microsoft OLE DB Driver for SQL Server
2. On the Connection tab:
   1. Select or enter a server name: set to the address and port of the SQL (TDS) endpoint of CData Connect, separated by a comma (e.g. localhost,8033)
   2. Enter information to log onto the server: select "Use a specific username and password" and use CData Connect credentials
   3. Select the database: use the database configured above (e.g. Neo4j1)
3. Click "Test Connection" to ensure the connection is configured properly
4. Click "OK"

After building the connection string in the Data Link Properties wizard, save the action.

Add an Execute SQL Statement Action

Add an "Execute SQL statement" action (Actions -> Database) and configure the properties.

• Get connection by: SQL connection variable
• SQL connection: %SQLConnection% (the variable from the "Open SQL connection" action above)
• SQL statement: SELECT * FROM ProductCategory

After configuring the properties, save the action.

Add a Write to CSV File Action

Add a "Write to CSV file" action (Actions -> File) and configure the properties.

• Variable to write to: %QueryResult% (the variable from the "Execute SQL statement" action above)
• File path: set to a file on disk
• Configure Advanced settings as needed.

After configuring the properties, save the action.

Add a Close SQL Connection Action

Add a "Close SQL connection" action (Actions -> Database) and configure the properties.

• SQL Connection: %SQLConnection% (the variable from the "Open SQL connection" action above)

After configuring the properties, save the action.

Save & Run the Flow

Once you have configured all the actions for the flow, click the disk icon to save the flow. Click the play icon to run the flow.

Now you have a workflow to move Neo4J data into a CSV file.

With CData Connect, you get live connectivity to Neo4J data within your Microsoft Power Automate workflows.

Related Power Automate Articles

This article walks through using CData Connect Server with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):

• Neo4J Data in Power Automate Desktop via ODBC
• Neo4J Data in Power Automate (Online) using CData Connect Server