Klaviyo → Azure Synapse
AI-first ETL from Klaviyo into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Klaviyo into Azure Synapse
Datrise syncs Klaviyo's profiles, segments, flows, campaigns, and attributed revenue 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
Klaviyo: E-commerce marketing automation with email and SMS.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Klaviyo entities map to Azure Synapse
| Klaviyo entity | Azure Synapse object | Notes |
|---|---|---|
| profiles | klaviyo_profiles | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| segments | klaviyo_segments | id PK · linked to klaviyo_profiles |
| flows | klaviyo_flows | id PK · linked to klaviyo_profiles |
| campaigns | klaviyo_campaigns | id PK · linked to klaviyo_profiles |
FAQ
How does Datrise handle Klaviyo'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 Klaviyo 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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