DatriseAI-first ETL

Typeform Amazon Redshift

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

How Datrise loads Typeform into Amazon Redshift

Datrise syncs Typeform's forms, responses, questions, workspaces, and completion metrics into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

Typeform: Conversational forms and response analytics.

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How Typeform entities map to Amazon Redshift

Typeform entityAmazon Redshift objectNotes
formstypeform_formsid PK · custom fields → SUPER 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 Amazon Redshift?

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

How does the Typeform to Amazon Redshift sync stay up to date?

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

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