HubSpot Service Hub → Google BigQuery
AI-first ETL from HubSpot Service Hub into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads HubSpot Service Hub into Google BigQuery
Datrise syncs HubSpot Service Hub's contacts, accounts, deals, activities, and lifecycle events into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
HubSpot Service Hub: Customer service platform with ticket and conversation context.
Google BigQuery: Serverless analytics warehouse on GCP.
How HubSpot Service Hub entities map to Google BigQuery
| HubSpot Service Hub entity | Google BigQuery object | Notes |
|---|---|---|
| contacts | hubspot_service_contacts | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| accounts | hubspot_service_accounts | id PK · linked to hubspot_service_contacts |
| deals | hubspot_service_deals | id PK · linked to hubspot_service_contacts |
| activities | hubspot_service_activities | TIMESTAMP events |
FAQ
How does Datrise handle HubSpot Service Hub's custom fields in Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the HubSpot Service Hub to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
Related pipelines
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- HubSpot Service Hub → CSV Files
- HubSpot Service Hub → MongoDB
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Early access
Connect HubSpot Service Hub to Google BigQuery the easy way
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