DatriseAI-first ETL

SurveySparrow to GoodData Integration

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

How Datrise loads SurveySparrow into GoodData

Datrise syncs SurveySparrow's surveys, responses, questions, contacts, NPS scores, and share links into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

SurveySparrow: Conversational surveys and feedback workflows.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How SurveySparrow entities map to GoodData

SurveySparrow entityGoodData objectNotes
surveyssurveysparrow_surveysid PK · custom fields → flattened 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 GoodData?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native GoodData types.

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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