DatriseAI-first ETL

EmailOctopus to Azure Synapse Integration

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

How Datrise loads EmailOctopus into Azure Synapse

Datrise syncs EmailOctopus's contacts, lists, campaigns, email events, tags, and automations 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

EmailOctopus: Lightweight email campaigns and list management.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How EmailOctopus entities map to Azure Synapse

EmailOctopus entityAzure Synapse objectNotes
contactsemailoctopus_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
listsemailoctopus_listsid PK · linked to emailoctopus_contacts
campaignsemailoctopus_campaignsid PK · linked to emailoctopus_contacts
email eventsemailoctopus_email_eventsdatetime2 events

FAQ

How does Datrise handle EmailOctopus'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 EmailOctopus 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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