Merge to MicroStrategy Integration
AI-first ETL from Merge into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Merge into MicroStrategy
Datrise syncs Merge's linked accounts, employees, candidates, contacts, invoices, and sync statuses 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
Merge: Unified API across HR, CRM, and accounting tools.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Merge entities map to MicroStrategy
| Merge entity | MicroStrategy object | Notes |
|---|---|---|
| linked accounts | merge_linked_accounts | id PK · custom fields → flattened columns |
| employees | merge_employees | id PK · linked to merge_linked_accounts |
| candidates | merge_candidates | id PK · linked to merge_linked_accounts |
| contacts | merge_contacts | id PK · linked to merge_linked_accounts |
FAQ
How does Datrise handle Merge'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 Merge to MicroStrategy sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.
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Early access
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