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Comparison

Comparing Google Cloud, AWS, and Azure

All three major clouds offer virtual servers, databases, and storage. The differences show up in data analytics, AI, enterprise identity integration, and pricing detail. As a partner working with multiple clouds, we summarize what we have observed.

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Last updated: 18 September 2026

Where does Google Cloud stand out?

Google Cloud stands out for serverless data analytics with BigQuery, AI with Gemini models, container infrastructure (GKE) as the birthplace of Kubernetes, and network performance. AWS has the broadest range of services, and Azure has the deepest integration with the Microsoft ecosystem (Entra ID, Windows, Microsoft 365).

General comparison

TopicGoogle CloudAWSMicrosoft Azure
Where it stands outData analytics, AI, containersBreadth of services, mature ecosystemMicrosoft ecosystem, hybrid enterprise
Data warehouseBigQuery (serverless)RedshiftSynapse / Fabric
AI platformGemini Enterprise Agent Platform (formerly Vertex AI)Bedrock, SageMakerAzure AI Foundry
KubernetesGKEEKSAKS
Virtual server discountsAutomatic sustained-use discount plus commitmentSavings plans and reservationsReservations and savings plans
Region in Türkiye (18 September 2026)Planned (Turkcell partnership)NoneNone

The table is a general guide. Service names and regions can be updated by the providers. A final decision should rest on a workload-specific cost and architecture analysis.

For companies using more than one cloud

Many Turkish companies already use multiple clouds in practice: email in one place, ERP in another, data analytics in a third. What matters is keeping identity, security, and cost management in one hand while placing each workload where it fits best.

  • Manage identity in one place (Entra ID or Cloud Identity) and connect the others to it.
  • Set up data analytics close to where the data is concentrated. Factor in data egress fees.
  • Consolidate cost reporting to cover all clouds.
SSS

Frequently asked questions

Is Google Cloud cheaper than AWS?

There is no general answer. The same workload can be cheaper on one cloud and more expensive on another. Prices vary by region, discount model, and architecture. An analysis based on your current bill gives the most accurate answer.

We use Azure. Why should we consider Google Cloud?

For workloads such as data analytics or AI, BigQuery and Gemini models offer a strong alternative. Rather than moving all your infrastructure, it is also possible to run specific workloads on Google Cloud.

Related pages

Cloud migrationPlanned migration to Google Cloud from AWS, Azure, VMware, and on-premises.Free cost assessmentThe Google Cloud equivalent of your current infrastructure and savings opportunities.Google Cloud pricingPay-as-you-go, committed-use discounts, free tier, and trial credit.BigQueryServerless data warehouse. Combines ERP, e-commerce, and marketing data.AI (Gemini, Vertex AI)Enterprise assistant, agent, and document-processing projects with Gemini models.FinOps and costAnalyzing your Google Cloud bill and reducing it permanently.
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