How Do We Connect HubSpot to BigQuery or Snowflake?

What You’re Actually Trying to Do

The goal is to bring HubSpot data together with finance, program, and operational systems so teams can work from a shared, consistent view. Instead of reporting living in separate tools, everything is modeled in one place with common definitions and logic.

This typically includes:

• Combining HubSpot data with finance, program, and operational systems
• Building consistent reporting so teams aren’t reconciling different numbers
• Modeling donor behavior and campaign performance over time
• Pushing insights back into HubSpot for automation or outreach

The flow doesn’t stop at analysis. The output often feeds back into HubSpot—whether that’s refined segments, scoring models, or campaign targeting—so insights actually shape how you engage with supporters.

Common Ways to Connect HubSpot to a Warehouse

There are a few patterns we typically see, depending on the maturity of the data team and the complexity of the tech stack.

Native Connectors and Data Sharing

When available, native options are usually the best place to start. They fit cleanly into warehouse workflows and reduce the need for additional tooling.

• Snowflake Data Share: Exposes HubSpot data directly inside your Snowflake environment for querying.
• BigQuery Integrations: Writes HubSpot data directly to BigQuery tables on a set schedule.

Managed ELT Tools

When teams need broader coverage or more flexibility, managed ELT tools (like Fivetran or Airbyte) are a common next step. They pull data from HubSpot and move it into your warehouse in a more configurable way.

• Pull a wider range of HubSpot objects and engagement data
• Normalize and structure data for analysis
• Sync data on a defined, reliable cadence

Open-source or Custom Pipelines

This is typically the right fit when there is an internal data engineering team that requires full control over the infrastructure. It allows for highly tailored logic and deeper transformations, though it comes with the added responsibility of long-term maintenance as APIs evolve.

How This Fits into Your Broader Data Strategy

Connecting HubSpot to a data warehouse isn’t just a technical decision; it shapes how your organization works with data. In most cases, it makes sense to start with native connectors or managed tools, then expand as your needs become more defined.

Once connected, the impact goes beyond centralizing data. Finance, fundraising, and program activity can be analyzed together using consistent definitions. This creates a feedback loop where insights generated in your warehouse actually become part of how your team makes decisions and prioritizes work.

Learn More About HubSpot Integrations for Nonprofits