Wrike to Holistics Integration
AI-first ETL from Wrike into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads Wrike into Holistics
Datrise syncs Wrike's tasks, folders, projects, timelogs, custom fields, and task statuses into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.
Ideal for as-code BI modeling on a warehouse.
Endpoints
Wrike: Project and task management with custom workflows.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How Wrike entities map to Holistics
| Wrike entity | Holistics object | Notes |
|---|---|---|
| tasks | wrike_tasks | id PK · custom fields → flattened columns for the modeling layer |
| folders | wrike_folders | id PK · linked to wrike_tasks |
| projects | wrike_projects | id PK · linked to wrike_tasks |
| timelogs | wrike_timelogs | id PK · linked to wrike_tasks |
FAQ
How does Datrise handle Wrike's custom fields in Holistics?
Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.
How does the Wrike to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
Related pipelines
More destinations for Wrike
More sources for Holistics
Early access
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