DatriseAI-first ETL

Holded MicroStrategy

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

How Datrise loads Holded into MicroStrategy

Datrise syncs Holded'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

Holded: European CRM for SMB and mid-market sales teams.

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

How Holded entities map to MicroStrategy

Holded entityMicroStrategy objectNotes
contactsholded_contactsid PK · custom fields → flattened columns
accountsholded_accountsid PK · linked to holded_contacts
dealsholded_dealsid PK · linked to holded_contacts
activitiesholded_activitiesdate/time dimensions events

FAQ

How does Datrise handle Holded'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 Holded 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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