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Birst is a cloud business intelligence (BI) tool and analytics platform that helps organizations quickly understand and optimize complex processes. When paired with the CData JDBC Driver for HubSpot, you can connect to live HubSpot data through the Birst Cloud Agent and build real-time visualizations. In this article, we walk you through, step-by-step, how to connect to HubSpot using the Cloud Agent and create dynamic reports in Birst.
With powerful data processing capabilities, the CData JDBC driver offers unmatched performance for live HubSpot data operations in Birst. When you issue complex SQL queries from Birst to HubSpot, the driver pushes supported SQL operations, like filters and aggregations, directly to HubSpot and utilizes the embedded SQL Engine to process unsupported operations client-side (often SQL functions and JOIN operations). With built-in dynamic metadata querying, the JDBC driver enables you to visualize and analyze HubSpot data using native Birst data types.
CData provides the easiest way to access and integrate live data from HubSpot. Customers use CData connectivity to:
Users frequently integrate HubSpot with analytics tools such as Tableau, Power BI, and Excel, and leverage our tools to replicate HubSpot data to databases or data warehouses.
To learn about how other customers are using CData's HubSpot solutions, check out our blog: Drivers in Focus: Simplified HubSpot Connectivity.
Before creating the Birst project, you will need to install the Birst Cloud Agent (in order to work with the installed JDBC Driver). Also, copy the JAR file for the JDBC Driver (and the LIC file, if it exists) to the /drivers/ directory in the installation location for the Cloud Agent.
With the driver and Cloud Agent installed, you are ready to begin.
HubSpot uses the OAuth authentication standard. You can use the embedded OAuthClientId, OAuthClientSecret, and CallbackURL or you can obtain your own by registering an app.
See the Getting Started chapter of the help documentation for a guide to using OAuth.
For assistance in constructing the JDBC URL, use the connection string designer built into the HubSpot JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.hubspot.jar
Fill in the connection properties and copy the connection string to the clipboard.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
Below is a typical JDBC connection string for HubSpot:
jdbc:hubspot:InitiateOAuth=GETANDREFRESH;
NOTE: Since authentication to HubSpot is managed from the connection string, you can leave Security Credentials blank.
Now that the connection is configured, we are ready to configure the schema for the dataset, choosing the tables, views, and columns we wish to visualize.
With the objects configured, you can perform any data preparation and discover any relationships in your data using the Pronto Prepare and Relate tools.
After you prepare your data and define relationships between the connected objects, you are ready to build your visualization.
Using the CData JDBC Driver for HubSpot with the Cloud Agent and Birst, you can easily create robust visualizations and reports on HubSpot data. Download a free, 30-day trial and start building Birst visualizations today.
Download a free trial of the HubSpot Driver to get started:
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