DatriseAI-first ETL

WorkRamp to Neon Integration

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

How Datrise loads WorkRamp into Neon

Datrise syncs WorkRamp's courses, learners, enrollments, completions, assignments, and certifications 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

WorkRamp: Employee training, courses, and completion tracking.

Neon: Serverless Postgres destination with branching and autoscaling.

How WorkRamp entities map to Neon

WorkRamp entityNeon objectNotes
coursesworkramp_coursesid PK · custom fields → jsonb columns
learnersworkramp_learnersid PK · linked to workramp_courses
enrollmentsworkramp_enrollmentsid PK · linked to workramp_courses
completionsworkramp_completionsid PK · linked to workramp_courses

FAQ

How does Datrise handle WorkRamp'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 WorkRamp 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

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