DatriseAI-first ETL

Formkeep to Chartio Integration

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

How Datrise loads Formkeep into Chartio

Datrise syncs Formkeep's forms, submissions, fields, answers, spam flags, and notifications into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, 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. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

Formkeep: Hosted form endpoints and submission storage.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How Formkeep entities map to Chartio

Formkeep entityChartio objectNotes
formsformkeep_formsid PK · custom fields → flattened columns for visual SQL
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 Chartio?

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

How does the Formkeep to Chartio sync stay up to date?

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

Related pipelines

Early access

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