DatriseAI-first ETL

Typeform GoodData

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

How Datrise loads Typeform into GoodData

Datrise syncs Typeform's forms, responses, questions, workspaces, and completion metrics 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

Typeform: Conversational forms and response analytics.

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

How Typeform entities map to GoodData

Typeform entityGoodData objectNotes
formstypeform_formsid PK · custom fields → flattened columns
responsestypeform_responsesid PK · linked to typeform_forms
questionstypeform_questionsid PK · linked to typeform_forms
workspacestypeform_workspacesid PK · linked to typeform_forms

FAQ

How does Datrise handle Typeform'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 Typeform 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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