DatriseAI-first ETL

Mailjet SMS to Oracle Database Integration

AI-first ETL from Mailjet SMS into Oracle Database. Governed entities, incremental sync, typed landing tables.

How Datrise loads Mailjet SMS into Oracle Database

Datrise syncs Mailjet SMS's SMS messages, recipients, delivery statuses, senders, campaigns, and costs into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

Mailjet SMS: SMS delivery and message status tracking.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Mailjet SMS entities map to Oracle Database

Mailjet SMS entityOracle Database objectNotes
SMS messagesmailjet_sms_sms_messagesid PK · custom fields → JSON or CLOB columns
recipientsmailjet_sms_recipientsid PK · linked to mailjet_sms_sms_messages
delivery statusesmailjet_sms_delivery_statusesTIMESTAMP WITH TIME ZONE events
sendersmailjet_sms_sendersid PK · linked to mailjet_sms_sms_messages

FAQ

How does Datrise handle Mailjet SMS's custom fields in Oracle Database?

Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.

How does the Mailjet SMS to Oracle Database sync stay up to date?

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

Related pipelines

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