DatriseAI-first ETL

Mailjet SMS to PostgreSQL Integration

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

How Datrise loads Mailjet SMS into PostgreSQL

Datrise syncs Mailjet SMS's SMS messages, recipients, delivery statuses, senders, campaigns, and costs into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Mailjet SMS: SMS delivery and message status tracking.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Mailjet SMS entities map to PostgreSQL

Mailjet SMS entityPostgreSQL objectNotes
SMS messagesmailjet_sms_sms_messagesid PK · custom fields → jsonb columns
recipientsmailjet_sms_recipientsid PK · linked to mailjet_sms_sms_messages
delivery statusesmailjet_sms_delivery_statusestimestamptz events
sendersmailjet_sms_sendersid PK · linked to mailjet_sms_sms_messages

FAQ

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

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

How does the Mailjet SMS to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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