DatriseAI-first ETL

Wrike to Azure Synapse Integration

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

How Datrise loads Wrike into Azure Synapse

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

Wrike: Project and task management with custom workflows.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Wrike entities map to Azure Synapse

Wrike entityAzure Synapse objectNotes
taskswrike_tasksid PK · custom fields → NVARCHAR(MAX) JSON columns
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 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 Wrike to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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