DatriseAI-first ETL

Onfleet Metabase

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

How Datrise loads Onfleet into Metabase

Datrise syncs Onfleet'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

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

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

How Onfleet entities map to Metabase

Onfleet entityMetabase objectNotes
recordsonfleet_recordsid PK · custom fields → flattened columns for the question builder
eventsonfleet_eventstemporal columns for trends events
configuration objectsonfleet_configuration_objectsid PK · linked to onfleet_records

FAQ

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

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

Related pipelines

Early access

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