DatriseAI-first ETL

Formkeep to Amazon QuickSight Integration

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

How Datrise loads Formkeep into Amazon QuickSight

Datrise syncs Formkeep's forms, submissions, fields, answers, spam flags, and notifications into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

Formkeep: Hosted form endpoints and submission storage.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Formkeep entities map to Amazon QuickSight

Formkeep entityAmazon QuickSight objectNotes
formsformkeep_formsid PK · custom fields → flattened columns for analyses
submissionsformkeep_submissionsid PK · linked to formkeep_forms
fieldsformkeep_fieldsid PK · linked to formkeep_forms
answersformkeep_answersid PK · linked to formkeep_forms

FAQ

How does Datrise handle Formkeep's custom fields in Amazon QuickSight?

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

How does the Formkeep to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

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