HubSpot Operations Hub → Google BigQuery
AI-first ETL from HubSpot Operations Hub into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads HubSpot Operations Hub into Google BigQuery
Datrise syncs HubSpot Operations 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 Operations Hub: CRM for SMB teams managing pipeline, contacts, and customer activity.
Google BigQuery: Serverless analytics warehouse on GCP.
How HubSpot Operations Hub entities map to Google BigQuery
| HubSpot Operations Hub entity | Google BigQuery object | Notes |
|---|---|---|
| contacts | hubspot_operations_contacts | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| accounts | hubspot_operations_accounts | id PK · linked to hubspot_operations_contacts |
| deals | hubspot_operations_deals | id PK · linked to hubspot_operations_contacts |
| activities | hubspot_operations_activities | TIMESTAMP events |
FAQ
How does Datrise handle HubSpot Operations 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 Operations 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
More destinations for HubSpot Operations Hub
- HubSpot Operations Hub → Amazon Redshift
- HubSpot Operations Hub → Databricks SQL Warehouse
- HubSpot Operations Hub → ClickHouse
- HubSpot Operations Hub → DuckDB
- HubSpot Operations Hub → Amazon Athena
- HubSpot Operations Hub → Amazon S3 Data Lake
- HubSpot Operations Hub → Azure Data Lake Storage
- HubSpot Operations Hub → Azure Synapse
- HubSpot Operations Hub → Spreadsheets
- HubSpot Operations Hub → Airtable
- HubSpot Operations Hub → CSV Files
- HubSpot Operations Hub → MongoDB
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Early access
Connect HubSpot Operations Hub to Google BigQuery the easy way
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