DatriseAI-first ETL

Everhour to Spreadsheets Integration

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

How Datrise loads Everhour into Spreadsheets

Datrise syncs Everhour's time entries, projects, tasks, users, clients, and budgets 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

Everhour: Time tracking and budgets for project teams.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Everhour entities map to Spreadsheets

Everhour entitySpreadsheets objectNotes
time entrieseverhour_time_entriesid PK · custom fields → JSON-stringified cells for nested fields
projectseverhour_projectsid PK · linked to everhour_time_entries
taskseverhour_tasksid PK · linked to everhour_time_entries
userseverhour_usersid PK · linked to everhour_time_entries

FAQ

How does Datrise handle Everhour'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 Everhour 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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