HubSpot Operations Hub → Microsoft SQL Server
AI-first ETL from HubSpot Operations Hub into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads HubSpot Operations Hub into Microsoft SQL Server
Datrise syncs HubSpot Operations Hub's contacts, accounts, deals, activities, and lifecycle events into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
HubSpot Operations Hub: CRM for SMB teams managing pipeline, contacts, and customer activity.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How HubSpot Operations Hub entities map to Microsoft SQL Server
| HubSpot Operations Hub entity | Microsoft SQL Server object | Notes |
|---|---|---|
| contacts | hubspot_operations_contacts | id PK · custom fields → NVARCHAR(MAX) JSON 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 | datetime2 events |
FAQ
How does Datrise handle HubSpot Operations Hub's custom fields in Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the HubSpot Operations Hub to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
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Early access
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