DatriseAI-first ETL

Mailgun to PostgreSQL Integration

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

How Datrise loads Mailgun into PostgreSQL

Datrise syncs Mailgun's messages, domains, delivery events, bounces, complaints, and mailing lists 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

Mailgun: Transactional email API with delivery analytics.

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

How Mailgun entities map to PostgreSQL

Mailgun entityPostgreSQL objectNotes
messagesmailgun_messagesid PK · custom fields → jsonb columns
domainsmailgun_domainsid PK · linked to mailgun_messages
delivery eventsmailgun_delivery_eventstimestamptz events
bouncesmailgun_bouncesid PK · linked to mailgun_messages

FAQ

How does Datrise handle Mailgun'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 Mailgun 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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