DatriseAI-first ETL

Harvest Forecast to Spreadsheets Integration

AI-first ETL from Harvest Forecast into Spreadsheets. Governed entities, incremental sync, typed landing tables.

How Datrise loads Harvest Forecast into Spreadsheets

Datrise syncs Harvest Forecast's assignments, people, projects, clients, milestones, and scheduled hours into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

Harvest Forecast: Resource scheduling and project capacity planning.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Harvest Forecast entities map to Spreadsheets

Harvest Forecast entitySpreadsheets objectNotes
assignmentsharvest_forecast_assignmentsid PK · custom fields → JSON-stringified cells for nested fields
peopleharvest_forecast_peopleid PK · linked to harvest_forecast_assignments
projectsharvest_forecast_projectsid PK · linked to harvest_forecast_assignments
clientsharvest_forecast_clientsid PK · linked to harvest_forecast_assignments

FAQ

How does Datrise handle Harvest Forecast's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

How does the Harvest Forecast to Spreadsheets sync stay up to date?

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

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