DatriseAI-first ETL

Smaily to Azure Synapse Integration

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

How Datrise loads Smaily into Azure Synapse

Datrise syncs Smaily's subscribers, campaigns, lists, autoresponders, email events, and segments 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

Smaily: Email and SMS campaigns with subscriber segments.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Smaily entities map to Azure Synapse

Smaily entityAzure Synapse objectNotes
subscriberssmaily_subscribersid PK · custom fields → NVARCHAR(MAX) JSON columns
campaignssmaily_campaignsid PK · linked to smaily_subscribers
listssmaily_listsid PK · linked to smaily_subscribers
autoresponderssmaily_autorespondersid PK · linked to smaily_subscribers

FAQ

How does Datrise handle Smaily'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 Smaily 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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