PropHeroProduct Updates
← Back

HubSpot Native Synchronisation Architecture

Macarena CabralesInvestor PortalCXRevOps

Context and Problem

Native synchronization between HubSpot and Airtable previously failed due to structural misalignments. Both platforms lacked shared mandatory metadata (Deal Name, Deal Stage, Last Modified Timestamp, and a Unique Record ID) and used different naming conventions for pipeline stages. This mismatch forced the company to rely on expensive third-party middleware (Pipedream) to act as a data translator between the two systems.

Solution

We engineered a native synchronization engine using a "Ghost Property" mirroring system:

  • Metadata Layer: Created bridging fields in Airtable (RecordID, Timestamps, AWS UUID) to trigger native sync pulses.
  • Translation Properties: Built mirrored "Ghost Properties" in both Airtable (Engagement & Transaction tables) and HubSpot to catch the sync data.
  • Automated Translation: Deployed Airtable Automations (AT $\rightarrow$ HS) and HubSpot Workflows (HS $\rightarrow$ AT) that automatically translate internal stage names into formats the other platform can accept.
  • AWS UUID Integration: Requested platform-independent UUIDs from the AWS database to act as the primary sync key.

Expected Impact

  • Cost Reduction: Replaces and eliminates the need for high-cost middleware (Pipedream).
  • Operational Alignment: Ensures HubSpot and Airtable stages stay perfectly matched without manual data entry.
  • Future-Proof Scalability: By injecting AWS UUIDs as the primary key, the architecture is designed for the long term. If Airtable is ever decommissioned, HubSpot will already be natively mapped to the AWS database, allowing for a seamless database transition.