DatriseAI-first ETL

HubSpot Service Hub to Microsoft SQL Server Integration

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 tickets, contacts, companies, conversations, knowledge base articles, and feedback submissions 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: Ticketing and knowledge base on the HubSpot CRM record.

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
ticketshubspot_service_ticketsid PK · custom fields → NVARCHAR(MAX) JSON columns
contactshubspot_service_contactsid PK · linked to hubspot_service_tickets
companieshubspot_service_companiesid PK · linked to hubspot_service_tickets
conversationshubspot_service_conversationsid PK · linked to hubspot_service_tickets

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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