Harvest → Azure Synapse
AI-first ETL from Harvest into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Harvest into Azure Synapse
Datrise syncs Harvest's time entries, projects, clients, invoices, and utilization 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
Harvest: Time tracking and project profitability for services teams.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Harvest entities map to Azure Synapse
| Harvest entity | Azure Synapse object | Notes |
|---|---|---|
| time entries | harvest_time_entries | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| projects | harvest_projects | id PK · linked to harvest_time_entries |
| clients | harvest_clients | id PK · linked to harvest_time_entries |
| invoices | harvest_invoices | id PK · linked to harvest_time_entries |
FAQ
How does Datrise handle Harvest'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 Harvest 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
Connect Harvest to Azure Synapse the easy way
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