DatriseAI-first ETL

Onfleet MicroStrategy

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

How Datrise loads Onfleet into MicroStrategy

Datrise syncs Onfleet's records, events, and configuration objects into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

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

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Onfleet entities map to MicroStrategy

Onfleet entityMicroStrategy objectNotes
recordsonfleet_recordsid PK · custom fields → flattened columns
eventsonfleet_eventsdate/time dimensions events
configuration objectsonfleet_configuration_objectsid PK · linked to onfleet_records

FAQ

How does Datrise handle Onfleet's custom fields in MicroStrategy?

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

How does the Onfleet to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

Early access

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