DatriseAI-first ETL

Sailthru to Azure Synapse Integration

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

How Datrise loads Sailthru into Azure Synapse

Datrise syncs Sailthru's users, campaigns, blasts, message events, lists, and content items 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

Sailthru: Personalized email and onsite content targeting.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Sailthru entities map to Azure Synapse

Sailthru entityAzure Synapse objectNotes
userssailthru_usersid PK · custom fields → NVARCHAR(MAX) JSON columns
campaignssailthru_campaignsid PK · linked to sailthru_users
blastssailthru_blastsid PK · linked to sailthru_users
message eventssailthru_message_eventsdatetime2 events

FAQ

How does Datrise handle Sailthru'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 Sailthru 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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