DatriseAI-first ETL

SurveySparrow to PostgreSQL Integration

AI-first ETL from SurveySparrow into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads SurveySparrow into PostgreSQL

Datrise syncs SurveySparrow's surveys, responses, questions, contacts, NPS scores, and share links into PostgreSQL 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

SurveySparrow: Conversational surveys and feedback workflows.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How SurveySparrow entities map to PostgreSQL

SurveySparrow entityPostgreSQL objectNotes
surveyssurveysparrow_surveysid PK · custom fields → jsonb columns
responsessurveysparrow_responsesid PK · linked to surveysparrow_surveys
questionssurveysparrow_questionsid PK · linked to surveysparrow_surveys
contactssurveysparrow_contactsid PK · linked to surveysparrow_surveys

FAQ

How does Datrise handle SurveySparrow's custom fields in PostgreSQL?

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 PostgreSQL types.

How does the SurveySparrow to PostgreSQL sync stay up to date?

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

Related pipelines

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