Harvest → Microsoft Power BI
AI-first ETL from Harvest into Microsoft Power BI. Governed entities, incremental sync, typed landing tables.
How Datrise loads Harvest into Microsoft Power BI
Datrise syncs Harvest's time entries, projects, clients, invoices, and utilization into Microsoft Power BI as star-schema-friendly tables for an Import or DirectQuery dataset. Flexible or custom fields land in flattened columns (nested fields expanded), and timestamps such as created, updated, and status changes are typed as date/time columns with a date table.
Sync is incremental: Datrise uses incremental-refresh windows aligned to Power BI's RangeStart/RangeEnd, so re-runs update only what changed. Date-partitioned fact tables matching incremental-refresh policies. Power BI measures and relationships live in the .pbix model, so Datrise keeps the underlying tables stable and star-schema-shaped.
Ideal for Microsoft-stack self-serve reporting.
Endpoints
Harvest: Time tracking and project profitability for services teams.
Microsoft Power BI: Microsoft business intelligence with datasets, reports, and semantic models.
How Harvest entities map to Microsoft Power BI
| Harvest entity | Microsoft Power BI object | Notes |
|---|---|---|
| time entries | harvest_time_entries | id PK · custom fields → flattened columns (nested fields expanded) |
| projects | harvest_projects | id PK · linked to harvest_time_entries |
| clients | harvest_clients | id PK · linked to harvest_time_entries |
| invoices | harvest_invoices | id PK · linked to harvest_time_entries |
FAQ
How does Datrise handle Harvest's custom fields in Microsoft Power BI?
Flexible values are stored as flattened columns (nested fields expanded), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft Power BI types.
How does the Harvest to Microsoft Power BI sync stay up to date?
It runs incrementally — Datrise uses incremental-refresh windows aligned to Power BI's RangeStart/RangeEnd.
Related pipelines
More destinations for Harvest
More sources for Microsoft Power BI
- Iterable → Microsoft Power BI
- Klaviyo → Microsoft Power BI
- Adobe Commerce (Magento) → Microsoft Power BI
- Mixpanel → Microsoft Power BI
- NetSuite → Microsoft Power BI
- Pardot → Microsoft Power BI
- Pendo → Microsoft Power BI
- QuickBooks → Microsoft Power BI
- Recharge → Microsoft Power BI
- Recurly → Microsoft Power BI
- RingCentral → Microsoft Power BI
- Segment → Microsoft Power BI
Early access
Connect Harvest to Microsoft Power BI the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.