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URL: https://www.cdata.com/kb/tech/hubspot-cloud-datapine.rst

⇱ Build HubSpot-Connected Visualizations in datapine


Build HubSpot-Connected Visualizations in datapine

πŸ‘ Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Use CData Connect AI and datapine to build visualizations and dashboards with access to live HubSpot data.

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

CData Connect AI provides a pure SQL Server interface for HubSpot, allowing you to query data from HubSpot 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 HubSpot, leveraging server-side processing to return the requested HubSpot data quickly.

About HubSpot Data Integration

CData provides the easiest way to access and integrate live data from HubSpot. Customers use CData connectivity to:

  • Access HubSpot without worrying about API updates or changes.
  • Access custom objects and fields in HubSpot with no extra configuration steps involved.
  • Use SQL stored procedures to perform functional operations like uploading or downloading attachments, inserting engagements, and creating or deleting custom objects or fields.

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.


Getting Started


Configure HubSpot Connectivity for datapine

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "HubSpot" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. HubSpot uses OAuth to authenticate. Click "Sign in" to authenticate with HubSpot. πŸ‘ Authenticating with OAuth (Salesforce is shown).
  6. Navigate to the Permissions tab in the Add HubSpot Connection page and update the User-based permissions. πŸ‘ Updating 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. πŸ‘ Creating a new PAT
  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 HubSpot data from datapine.

Connecting to HubSpot from datapine

Once you configure your connection to HubSpot in Connect AI, you are ready to connect to HubSpot 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. HubSpot1)
    • 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"
    πŸ‘ Configuring the connection to CData Connect AI
  5. In the Data Schema step, select the tables and fields to visualize and click "Save and Proceed" πŸ‘ Selecting tables and fields to visualize (Salesforce is shown)
  6. In the References step, define any relationships between your selected tables and click "Save and Proceed" πŸ‘ Defining foreign key relationships
  7. In the Data Transfer step, click "Go to Analyzer"

Visualize HubSpot Data in datapine

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

πŸ‘ Visualizing data in datapine (Salesforce is shown)

Having connect to HubSpot from datapine, you are now able to visualize and analyze real-time HubSpot 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!