Which is cheaper, Azure Data Factory or Google Dataproc?

GCP is cheaper in 4 of 5 comparable categories, with an average price difference of 42.4%.

How do Azure Data Factory and Google Dataproc compare for general purpose workloads?

Both providers offer competitive pricing for general purpose workloads.

Updated Apr 4, 2026AzureGCP

Overall Winner

GCP

Azure Wins

GCP Wins

Ties

GCP wins 4 of 5 price comparisons, averaging 42.4% lower prices in categories where it leads.

Prices range from $0.000100/hr to $21.47/hr across comparable tiers.

Choose GCP

Best for Analytics workloads

Comparing Azure Data Factory and Google Dataproc across 5 equivalent tiers. On-demand hourly rates are shown in USD for the default region.

Sort by:

Category	Azure Azure Data Factory	GCP Google Dataproc	Diff	Cheapest
Analytics - Self Hosted - Self Hosted External Pipeline Activity	$0.0001/hr Self Hosted - Self Hosted External Pipeline Activity ($0.07/mo)	$0.0002/hr 0292-2DAA-87AE ($0.17/mo)	+57.1%	Azure
Analytics - D2 v2 - D2 v2 AHB	$0.4044/hr D2 v2 - D2 v2 AHB ($295.18/mo)	$0.3990/hr 0810-E21D-8709 ($291.27/mo)	+1.3%	GCP
Analytics - Azure Managed VNET - Azure Managed VNET Pipeline Activity	$1.0000/hr Azure Managed VNET - Azure Managed VNET Pipeline Activity ($730.00/mo)	$0.8979/hr 0141-0887-121B ($655.47/mo)	+10.2%	GCP
Analytics - E16 v3 - E16 v3 AHB	$3.1760/hr E16 v3 - E16 v3 AHB ($2,318.48/mo)	$1.6136/hr 0853-0C42-615B ($1,177.96/mo)	+49.2%	GCP
Analytics - E80ids v4 - E80ids v4 License Included	$21.4700/hr E80ids v4 - E80ids v4 License Included ($15,673.10/mo)	$1.2000/hr 097F-10BC-11B9 ($876.00/mo)	+94.4%	GCP

✓Analytics - Self Hosted - Self Hosted External Pipeline Activity - saves $0.07/mo (57.1% cheaper)

✓Analytics - D2 v2 - D2 v2 AHB - saves $3.94/mo (1.3% cheaper)
✓Analytics - Azure Managed VNET - Azure Managed VNET Pipeline Activity - saves $74.53/mo (10.2% cheaper)
✓Analytics - E16 v3 - E16 v3 AHB - saves $1,140.55/mo (49.2% cheaper)
✓Analytics - E80ids v4 - E80ids v4 License Included - saves $14,797.10/mo (94.4% cheaper)