Greenhouse to Azure Synapse Integration
AI-first ETL from Greenhouse into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Greenhouse into Azure Synapse
Datrise syncs Greenhouse's candidates, applications, jobs, interviews, scorecards, and offers 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
Greenhouse: Applicant tracking and structured hiring.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Greenhouse entities map to Azure Synapse
| Greenhouse entity | Azure Synapse object | Notes |
|---|---|---|
| candidates | greenhouse_candidates | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| applications | greenhouse_applications | id PK · linked to greenhouse_candidates |
| jobs | greenhouse_jobs | id PK · linked to greenhouse_candidates |
| interviews | greenhouse_interviews | id PK · linked to greenhouse_candidates |
FAQ
How does Datrise handle Greenhouse'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 Greenhouse to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
Related pipelines
More destinations for Greenhouse
More sources for Azure Synapse
Early access
Connect Greenhouse to Azure Synapse the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.