DatriseAI-first ETL

HubSpot Operations Hub Azure Synapse

AI-first ETL from HubSpot Operations Hub into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads HubSpot Operations Hub into Azure Synapse

Datrise syncs HubSpot Operations Hub's contacts, accounts, deals, activities, and lifecycle events into Azure Synapse 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 COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

HubSpot Operations Hub: CRM for SMB teams managing pipeline, contacts, and customer activity.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How HubSpot Operations Hub entities map to Azure Synapse

HubSpot Operations Hub entityAzure Synapse objectNotes
contactshubspot_operations_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountshubspot_operations_accountsid PK · linked to hubspot_operations_contacts
dealshubspot_operations_dealsid PK · linked to hubspot_operations_contacts
activitieshubspot_operations_activitiesdatetime2 events

FAQ

How does Datrise handle HubSpot Operations Hub's custom fields in Azure Synapse?

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 Azure Synapse types.

How does the HubSpot Operations Hub to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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