DatriseAI-first ETL

Wrike to Spreadsheets Integration

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

How Datrise loads Wrike into Spreadsheets

Datrise syncs Wrike's tasks, folders, projects, timelogs, custom fields, and task statuses 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

Wrike: Project and task management with custom workflows.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Wrike entities map to Spreadsheets

Wrike entitySpreadsheets objectNotes
taskswrike_tasksid PK · custom fields → JSON-stringified cells for nested fields
folderswrike_foldersid PK · linked to wrike_tasks
projectswrike_projectsid PK · linked to wrike_tasks
timelogswrike_timelogsid PK · linked to wrike_tasks

FAQ

How does Datrise handle Wrike'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 Wrike 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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