DatriseAI-first ETL

Mailjet to Microsoft SQL Server Integration

AI-first ETL from Mailjet into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads Mailjet into Microsoft SQL Server

Datrise syncs Mailjet's messages, contacts, campaigns, delivery events, lists, and templates into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

Mailjet: Email delivery across transactional and marketing sends.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Mailjet entities map to Microsoft SQL Server

Mailjet entityMicrosoft SQL Server objectNotes
messagesmailjet_messagesid PK · custom fields → NVARCHAR(MAX) JSON columns
contactsmailjet_contactsid PK · linked to mailjet_messages
campaignsmailjet_campaignsid PK · linked to mailjet_messages
delivery eventsmailjet_delivery_eventsdatetime2 events

FAQ

How does Datrise handle Mailjet's custom fields in Microsoft SQL Server?

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 Microsoft SQL Server types.

How does the Mailjet to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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