DatriseAI-first ETL

Sailthru to PostgreSQL Integration

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

How Datrise loads Sailthru into PostgreSQL

Datrise syncs Sailthru's users, campaigns, blasts, message events, lists, and content items 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

Sailthru: Personalized email and onsite content targeting.

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

How Sailthru entities map to PostgreSQL

Sailthru entityPostgreSQL objectNotes
userssailthru_usersid PK · custom fields → jsonb columns
campaignssailthru_campaignsid PK · linked to sailthru_users
blastssailthru_blastsid PK · linked to sailthru_users
message eventssailthru_message_eventstimestamptz events

FAQ

How does Datrise handle Sailthru'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 Sailthru 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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