DatriseAI-first ETL

Bronto to PostgreSQL Integration

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

How Datrise loads Bronto into PostgreSQL

Datrise syncs Bronto's contacts, deliveries, campaigns, orders, email events, and 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

Bronto: Email marketing automation for commerce.

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

How Bronto entities map to PostgreSQL

Bronto entityPostgreSQL objectNotes
contactsbronto_contactsid PK · custom fields → jsonb columns
deliveriesbronto_deliveriesid PK · linked to bronto_contacts
campaignsbronto_campaignsid PK · linked to bronto_contacts
ordersbronto_ordersid PK · linked to bronto_contacts

FAQ

How does Datrise handle Bronto'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 Bronto 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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