DatriseAI-first ETL

folk Spreadsheets

AI-first ETL from folk into Spreadsheets. Governed entities, incremental sync, typed landing tables.

How Datrise loads folk into Spreadsheets

Datrise syncs folk's contacts, accounts, deals, activities, and lifecycle events into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

folk: AI-native CRM for relationship data, enrichment, and workflow automation.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How folk entities map to Spreadsheets

folk entitySpreadsheets objectNotes
contactsfolk_contactsid PK · custom fields → JSON-stringified cells for nested fields
accountsfolk_accountsid PK · linked to folk_contacts
dealsfolk_dealsid PK · linked to folk_contacts
activitiesfolk_activitiesISO-8601 text or serial date cells events

FAQ

How does Datrise handle folk's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

How does the folk to Spreadsheets sync stay up to date?

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

Early access

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