DatriseAI-first ETL

ForceManager Chartio

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

How Datrise loads ForceManager into Chartio

Datrise syncs ForceManager's contacts, accounts, deals, activities, and lifecycle events 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

ForceManager: European CRM for SMB and mid-market sales teams.

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

How ForceManager entities map to Chartio

ForceManager entityChartio objectNotes
contactsforcemanager_contactsid PK · custom fields → flattened columns for visual SQL
accountsforcemanager_accountsid PK · linked to forcemanager_contacts
dealsforcemanager_dealsid PK · linked to forcemanager_contacts
activitiesforcemanager_activitiestemporal columns events

FAQ

How does Datrise handle ForceManager'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 ForceManager 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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