DatriseAI-first ETL

HubSpot Service Hub to Azure Synapse Integration

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

How Datrise loads HubSpot Service Hub into Azure Synapse

Datrise syncs HubSpot Service Hub's tickets, contacts, companies, conversations, knowledge base articles, and feedback submissions 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 Service Hub: Ticketing and knowledge base on the HubSpot CRM record.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How HubSpot Service Hub entities map to Azure Synapse

HubSpot Service Hub entityAzure Synapse 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 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 Service Hub to Azure Synapse sync stay up to date?

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

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