DatriseAI-first ETL

HubSpot CRM Microsoft SQL Server

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

How Datrise loads HubSpot CRM into Microsoft SQL Server

Datrise syncs HubSpot CRM's contacts, companies, deals, lifecycle stages, and engagement 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 CRM: Inbound CRM with marketing, sales, and service hubs.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How HubSpot CRM entities map to Microsoft SQL Server

HubSpot CRM entityMicrosoft SQL Server objectNotes
contactshubspot_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
companieshubspot_companiesid PK · linked to hubspot_contacts
dealshubspot_dealsid PK · linked to hubspot_contacts
lifecycle stageshubspot_lifecycle_stagesid PK · linked to hubspot_contacts

FAQ

How does Datrise handle HubSpot CRM'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 CRM 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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