DatriseAI-first ETL

Mailjet SMS Neon

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

How Datrise loads Mailjet SMS into Neon

Datrise syncs Mailjet SMS's records, events, and configuration objects into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Mailjet SMS: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Mailjet SMS entities map to Neon

Mailjet SMS entityNeon objectNotes
recordsmailjet_sms_recordsid PK · custom fields → jsonb columns
eventsmailjet_sms_eventstimestamptz events
configuration objectsmailjet_sms_configuration_objectsid PK · linked to mailjet_sms_records

FAQ

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

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 Neon types.

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

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

Related pipelines

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