ClickUp → Azure Synapse
AI-first ETL from ClickUp into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads ClickUp into Azure Synapse
Datrise syncs ClickUp's tasks, custom fields, statuses, docs, and workspace execution data into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.
Ideal for Azure analytics estates feeding Power BI.
Endpoints
ClickUp: Work management platform for tasks, docs, and operations.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How ClickUp entities map to Azure Synapse
| ClickUp entity | Azure Synapse object | Notes |
|---|---|---|
| tasks | clickup_tasks | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| custom fields | clickup_custom_fields | id PK · linked to clickup_tasks |
| statuses | clickup_statuses | datetime2 events |
| docs | clickup_docs | id PK · linked to clickup_tasks |
FAQ
How does Datrise handle ClickUp's custom fields in Azure Synapse?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.
How does the ClickUp to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
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Early access
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