DatriseAI-first ETL

Typeform Redash

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

How Datrise loads Typeform into Redash

Datrise syncs Typeform's forms, responses, questions, workspaces, and completion metrics into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Typeform: Conversational forms and response analytics.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Typeform entities map to Redash

Typeform entityRedash objectNotes
formstypeform_formsid PK · custom fields → flattened columns for query results
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 Redash?

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

How does the Typeform to Redash sync stay up to date?

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

Related pipelines

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