DatriseAI-first ETL

Smaily to PostgreSQL Integration

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

How Datrise loads Smaily into PostgreSQL

Datrise syncs Smaily's subscribers, campaigns, lists, autoresponders, email events, and segments 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

Smaily: Email and SMS campaigns with subscriber segments.

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

How Smaily entities map to PostgreSQL

Smaily entityPostgreSQL objectNotes
subscriberssmaily_subscribersid PK · custom fields → jsonb columns
campaignssmaily_campaignsid PK · linked to smaily_subscribers
listssmaily_listsid PK · linked to smaily_subscribers
autoresponderssmaily_autorespondersid PK · linked to smaily_subscribers

FAQ

How does Datrise handle Smaily'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 Smaily 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

Early access

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