DatriseAI-first ETL

Autopilot Activities Metabase

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

How Datrise loads Autopilot Activities into Metabase

Datrise syncs Autopilot Activities's records, events, and configuration objects 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

Autopilot Activities: SaaS or API data source for analytics and warehouse sync.

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

How Autopilot Activities entities map to Metabase

Autopilot Activities entityMetabase objectNotes
recordsautopilot_activities_recordsid PK · custom fields → flattened columns for the question builder
eventsautopilot_activities_eventstemporal columns for trends events
configuration objectsautopilot_activities_configuration_objectsid PK · linked to autopilot_activities_records

FAQ

How does Datrise handle Autopilot Activities'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 Autopilot Activities to Metabase sync stay up to date?

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

Related pipelines

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