DatriseAI-first ETL

Sailthru to Neon Integration

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

How Datrise loads Sailthru into Neon

Datrise syncs Sailthru's users, campaigns, blasts, message events, lists, and content items into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Sailthru: Personalized email and onsite content targeting.

Neon: Serverless Postgres destination with branching and autoscaling.

How Sailthru entities map to Neon

Sailthru entityNeon 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 Neon?

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 Neon types.

How does the Sailthru to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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