Ga4 → Azure Synapse
AI-first ETL from Ga4 into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Ga4 into Azure Synapse
Datrise syncs Ga4's records, events, and configuration objects 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
Ga4: SaaS or API data source for analytics and warehouse sync.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Ga4 entities map to Azure Synapse
| Ga4 entity | Azure Synapse object | Notes |
|---|---|---|
| records | ga4_records | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| events | ga4_events | datetime2 events |
| configuration objects | ga4_configuration_objects | id PK · linked to ga4_records |
FAQ
How does Datrise handle Ga4'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 Ga4 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 Ga4
More sources for Azure Synapse
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- Google Cloud SQL → Azure Synapse
- Google Cloud SQL Postgresql → Azure Synapse
- Google Cloud Storage F → Azure Synapse
- Google Directory → Azure Synapse
Early access
Connect Ga4 to Azure Synapse the easy way
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