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Power BI Refresh Error:
UserErrorDataFactoryQuotaExceeded

What does this error mean?

An Azure Data Factory operation failed because a service quota was exceeded. Common quota limits include the number of pipelines, datasets, integration runtimes, or the number of concurrent activity runs per subscription.

Common causes

  • 1The ADF factory reached the limit of 5,000 entities (pipelines + datasets + linked services + data flows) per factory
  • 2The subscription-level concurrent activity run quota (default: 1,000 per subscription) was reached
  • 3Too many integration runtimes are provisioned in the factory
  • 4A development factory accumulated excessive entities during rapid iteration

How to fix it

  1. 1Review and delete unused pipelines, datasets, linked services, and data flows to reduce entity count.
  2. 2Request a quota increase via the Azure portal: Help + Support > New support request > Service and subscription limits.
  3. 3Consider splitting the workload across multiple ADF factories if entity limits are legitimately required.
  4. 4For concurrent run quotas, stagger pipeline trigger schedules to spread activity runs over time.

Frequently asked questions

What happens to pipeline runs that are queued when a quota limit is hit?

Queued runs wait for a free slot (concurrency limit) or fail immediately with the quota error. Subscription-level quota errors fail immediately and must be resubmitted.

How do I request a quota increase for Azure Data Factory?

Submit a support request in the Azure portal under Help + Support > New Support Request. Select 'Service and subscription limits (quotas)' and specify Azure Data Factory as the resource type. Microsoft responds within 24–72 hours.

Can pipeline concurrency limits be configured per pipeline?

Yes — each pipeline has a concurrency setting (default: 1). Increase it in the pipeline Settings tab to allow more simultaneous runs.

Does the ADF subscription quota limit apply per data factory or per subscription?

Most quota limits are per Azure subscription, not per data factory — multiple ADF instances in the same subscription share integration runtime and pipeline run limits.

Official documentation: https://learn.microsoft.com/en-us/azure/data-factory/data-factory-troubleshoot-guide

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