DatriseAI-first ETL

Apptivo Metabase

AI-first ETL from Apptivo into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Apptivo into Metabase

Datrise syncs Apptivo's contacts, accounts, deals, activities, and lifecycle events into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Apptivo: CRM for SMB teams managing pipeline, contacts, and customer activity.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Apptivo entities map to Metabase

Apptivo entityMetabase objectNotes
contactsapptivo_contactsid PK · custom fields → flattened columns for the question builder
accountsapptivo_accountsid PK · linked to apptivo_contacts
dealsapptivo_dealsid PK · linked to apptivo_contacts
activitiesapptivo_activitiestemporal columns for trends events

FAQ

How does Datrise handle Apptivo's custom fields in Metabase?

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

How does the Apptivo to Metabase sync stay up to date?

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

Related pipelines

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