DatriseAI-first ETL

MailerSend to PostgreSQL Integration

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

How Datrise loads MailerSend into PostgreSQL

Datrise syncs MailerSend's messages, templates, domains, delivery events, recipients, and bounces 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

MailerSend: Transactional email delivery and templates.

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

How MailerSend entities map to PostgreSQL

MailerSend entityPostgreSQL objectNotes
messagesmailersend_messagesid PK · custom fields → jsonb columns
templatesmailersend_templatesid PK · linked to mailersend_messages
domainsmailersend_domainsid PK · linked to mailersend_messages
delivery eventsmailersend_delivery_eventstimestamptz events

FAQ

How does Datrise handle MailerSend'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 MailerSend 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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