Build Neo4J-Connected Visualizations in datapine

datapine is a browser-based business intelligence platform. When paired with the CData Connect AI, you get access to your Neo4J data directly from your datapine visualizations and dashboards. This article describes connecting to Neo4J in CData Connect AI and building a simple Neo4J-connected visualization in datapine.

CData Connect AI provides a pure SQL Server interface for Neo4J, allowing you to query data from Neo4J without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Neo4J, leveraging server-side processing to return the requested Neo4J data quickly.

Configure Neo4J Connectivity for datapine

Connectivity to Neo4J from datapine is made possible through CData Connect AI. To work with Neo4J data from datapine, we start by creating and configuring a Neo4J connection.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "Neo4J" from the Add Connection panel

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 & Test
5. Navigate to the Permissions tab in the Add Neo4J Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Neo4J data from datapine.

Connecting to Neo4J from datapine

Once you configure your connection to Neo4J in Connect AI, you are ready to connect to Neo4J from datapine.

1. Log into datapine
2. Click Connect to navigate to the "Connect" page
3. Select MS SQL Server as the data source
4. In the Integration step, fill in the connection properties and click "Save and Proceed"
   • Set the Internal Name
   • Set Database Name to the name of the connection we just configured (e.g. Neo4j1)
   • Set Host / IP to "tds.cdata.com"
   • Set Username to your Connect AI username (e.g. [email protected])
   • Set Password to the corresponding PAT
   • Set Database Port to "14333"
   
5. In the Data Schema step, select the tables and fields to visualize and click "Save and Proceed"
6. In the References step, define any relationships between your selected tables and click "Save and Proceed"
7. In the Data Transfer step, click "Go to Analyzer"

Visualize Neo4J Data in datapine

After connecting to CData Connect AI, you are ready to visualize your Neo4J data in datapine. Simply select the dimensions and measures you wish to visualize!

Having connect to Neo4J from datapine, you are now able to visualize and analyze real-time Neo4J data no matter where you are. To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from datapine, try CData Connect AI today!