DatriseAI-first ETL

Mailjet SMS to Microsoft SQL Server Integration

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

How Datrise loads Mailjet SMS into Microsoft SQL Server

Datrise syncs Mailjet SMS's SMS messages, recipients, delivery statuses, senders, campaigns, and costs 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 SMS: SMS delivery and message status tracking.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Mailjet SMS entities map to Microsoft SQL Server

Mailjet SMS entityMicrosoft SQL Server objectNotes
SMS messagesmailjet_sms_sms_messagesid PK · custom fields → NVARCHAR(MAX) JSON columns
recipientsmailjet_sms_recipientsid PK · linked to mailjet_sms_sms_messages
delivery statusesmailjet_sms_delivery_statusesdatetime2 events
sendersmailjet_sms_sendersid PK · linked to mailjet_sms_sms_messages

FAQ

How does Datrise handle Mailjet SMS'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 SMS 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

Early access

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