DatriseAI-first ETL

Timely to Spreadsheets Integration

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

How Datrise loads Timely into Spreadsheets

Datrise syncs Timely's time entries, projects, clients, users, tags, and billable 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

Timely: Automatic time tracking for teams and projects.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Timely entities map to Spreadsheets

Timely entitySpreadsheets objectNotes
time entriestimely_time_entriesid PK · custom fields → JSON-stringified cells for nested fields
projectstimely_projectsid PK · linked to timely_time_entries
clientstimely_clientsid PK · linked to timely_time_entries
userstimely_usersid PK · linked to timely_time_entries

FAQ

How does Datrise handle Timely'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 Timely 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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