DatriseAI-first ETL

Klarna to Azure Synapse Integration

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

How Datrise loads Klarna into Azure Synapse

Datrise syncs Klarna's orders, payments, customers, settlements, refunds, and disputes 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

Klarna: Buy-now-pay-later checkout and settlements.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Klarna entities map to Azure Synapse

Klarna entityAzure Synapse objectNotes
ordersklarna_ordersid PK · custom fields → NVARCHAR(MAX) JSON columns
paymentsklarna_paymentsid PK · linked to klarna_orders
customersklarna_customersid PK · linked to klarna_orders
settlementsklarna_settlementsid PK · linked to klarna_orders

FAQ

How does Datrise handle Klarna'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 Klarna to Azure Synapse sync stay up to date?

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

Related pipelines

Early access

Connect Klarna 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.