Delighted → Neon
AI-first ETL from Delighted into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Delighted into Neon
Datrise syncs Delighted's surveys, responses, scores, and follow-up workflows 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
Delighted: NPS and micro-survey feedback platform.
Neon: Serverless Postgres destination with branching and autoscaling.
How Delighted entities map to Neon
| Delighted entity | Neon object | Notes |
|---|---|---|
| surveys | delighted_surveys | id PK · custom fields → jsonb columns |
| responses | delighted_responses | id PK · linked to delighted_surveys |
| scores | delighted_scores | id PK · linked to delighted_surveys |
| follow-up workflows | delighted_follow_up_workflows | id PK · linked to delighted_surveys |
FAQ
How does Datrise handle Delighted'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 Delighted 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
More destinations for Delighted
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