DatriseAI-first ETL

n8n to Azure Synapse Integration

AI-first ETL from n8n into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads n8n into Azure Synapse

Datrise syncs n8n's workflows, executions, nodes, credentials, execution logs, and triggers 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

n8n: Workflow automation across apps and APIs.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How n8n entities map to Azure Synapse

n8n entityAzure Synapse objectNotes
workflowsn8n_workflowsid PK · custom fields → NVARCHAR(MAX) JSON columns
executionsn8n_executionsid PK · linked to n8n_workflows
nodesn8n_nodesid PK · linked to n8n_workflows
credentialsn8n_credentialsid PK · linked to n8n_workflows

FAQ

How does Datrise handle n8n'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 n8n to Azure Synapse sync stay up to date?

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

Related pipelines

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