DatriseAI-first ETL

HubSpot Service Hub Microsoft SQL Server

AI-first ETL from HubSpot Service Hub into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads HubSpot Service Hub into Microsoft SQL Server

Datrise syncs HubSpot Service 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 Service Hub: Customer service platform with ticket and conversation context.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How HubSpot Service Hub entities map to Microsoft SQL Server

HubSpot Service Hub entityMicrosoft SQL Server objectNotes
contactshubspot_service_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountshubspot_service_accountsid PK · linked to hubspot_service_contacts
dealshubspot_service_dealsid PK · linked to hubspot_service_contacts
activitieshubspot_service_activitiesdatetime2 events

FAQ

How does Datrise handle HubSpot Service 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 Service 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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