DatriseAI-first ETL

Qualaroo to Neon Integration

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

How Datrise loads Qualaroo into Neon

Datrise syncs Qualaroo's surveys, responses, questions, respondents, nudges, and sentiment scores 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

Qualaroo: On-site surveys and user sentiment capture.

Neon: Serverless Postgres destination with branching and autoscaling.

How Qualaroo entities map to Neon

Qualaroo entityNeon objectNotes
surveysqualaroo_surveysid PK · custom fields → jsonb columns
responsesqualaroo_responsesid PK · linked to qualaroo_surveys
questionsqualaroo_questionsid PK · linked to qualaroo_surveys
respondentsqualaroo_respondentsid PK · linked to qualaroo_surveys

FAQ

How does Datrise handle Qualaroo'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 Qualaroo 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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