Everhour to MicroStrategy Integration
AI-first ETL from Everhour into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Everhour into MicroStrategy
Datrise syncs Everhour's time entries, projects, tasks, users, clients, and budgets 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
Everhour: Time tracking and budgets for project teams.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Everhour entities map to MicroStrategy
| Everhour entity | MicroStrategy object | Notes |
|---|---|---|
| time entries | everhour_time_entries | id PK · custom fields → flattened columns |
| projects | everhour_projects | id PK · linked to everhour_time_entries |
| tasks | everhour_tasks | id PK · linked to everhour_time_entries |
| users | everhour_users | id PK · linked to everhour_time_entries |
FAQ
How does Datrise handle Everhour'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 Everhour 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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