DatriseAI-first ETL

Sailthru to CSV Files Integration

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

How Datrise loads Sailthru into CSV Files

Datrise syncs Sailthru's users, campaigns, blasts, message events, lists, and content items into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

Sailthru: Personalized email and onsite content targeting.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How Sailthru entities map to CSV Files

Sailthru entityCSV Files objectNotes
userssailthru_usersid PK · custom fields → JSON-encoded strings for nested fields
campaignssailthru_campaignsid PK · linked to sailthru_users
blastssailthru_blastsid PK · linked to sailthru_users
message eventssailthru_message_eventsISO-8601 timestamp columns events

FAQ

How does Datrise handle Sailthru's custom fields in CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

How does the Sailthru to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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