DatriseAI-first ETL

Intercom Azure Synapse

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

How Datrise loads Intercom into Azure Synapse

Datrise syncs Intercom's conversations, customer attributes, inbox events, and support engagement 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

Intercom: Customer messaging platform with CRM-style account and conversation context.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Intercom entities map to Azure Synapse

Intercom entityAzure Synapse objectNotes
conversationsintercom_conversationsid PK · custom fields → NVARCHAR(MAX) JSON columns
customer attributesintercom_customer_attributesid PK · linked to intercom_conversations
inbox eventsintercom_inbox_eventsdatetime2 events
support engagementintercom_support_engagementid PK · linked to intercom_conversations

FAQ

How does Datrise handle Intercom'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 Intercom 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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