DatriseAI-first ETL

Crelate MicroStrategy

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

How Datrise loads Crelate into MicroStrategy

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

Crelate: Recruiting CRM/ATS for candidates, pipelines, and placements.

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

How Crelate entities map to MicroStrategy

Crelate entityMicroStrategy objectNotes
contactscrelate_contactsid PK · custom fields → flattened columns
accountscrelate_accountsid PK · linked to crelate_contacts
dealscrelate_dealsid PK · linked to crelate_contacts
activitiescrelate_activitiesdate/time dimensions events

FAQ

How does Datrise handle Crelate'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 Crelate to MicroStrategy sync stay up to date?

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

Related pipelines

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