ClickUp → Redash
AI-first ETL from ClickUp into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads ClickUp into Redash
Datrise syncs ClickUp's tasks, custom fields, statuses, docs, and workspace execution data into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
ClickUp: Work management platform for tasks, docs, and operations.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How ClickUp entities map to Redash
| ClickUp entity | Redash object | Notes |
|---|---|---|
| tasks | clickup_tasks | id PK · custom fields → flattened columns for query results |
| custom fields | clickup_custom_fields | id PK · linked to clickup_tasks |
| statuses | clickup_statuses | temporal columns events |
| docs | clickup_docs | id PK · linked to clickup_tasks |
FAQ
How does Datrise handle ClickUp's custom fields in Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the ClickUp to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for ClickUp
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