DatriseAI-first ETL

Front to Azure Synapse Integration

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

How Datrise loads Front into Azure Synapse

Datrise syncs Front's conversations, messages, contacts, inboxes, tags, and teammates 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

Front: Shared inbox for team email and messaging.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Front entities map to Azure Synapse

Front entityAzure Synapse objectNotes
conversationsfrontapp_conversationsid PK · custom fields → NVARCHAR(MAX) JSON columns
messagesfrontapp_messagesid PK · linked to frontapp_conversations
contactsfrontapp_contactsid PK · linked to frontapp_conversations
inboxesfrontapp_inboxesid PK · linked to frontapp_conversations

FAQ

How does Datrise handle Front'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 Front 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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