Google Cloud

GCP vs Azure: Complete Comparison of Compute, Storage, AI, Pricing & Certifications

2026-05-24
NicheeLab Editorial Team

An in-depth comparison of Google Cloud (GCP) and Microsoft Azure. GCP shines in AI, data, and containers, while Azure leads in Microsoft 365, Windows, and enterprise integration. This article organizes the trade-offs and pricing category by category.

Market Share (2026)

CloudShareStrengths
AWS30%Largest service catalog + longest track record
Azure25%M365 / Windows / Hybrid
GCP12%AI / Data / Containers
Others33%Alibaba / IBM / Oracle, etc.

Service Mapping

CategoryGCPAzure
VMCompute EngineAzure VM
K8sGKEAKS
Serverless containersCloud RunContainer Apps
FunctionCloud FunctionsAzure Functions
PaaSApp EngineApp Service
Object storageCloud StorageBlob Storage
DWHBigQuerySynapse / Fabric
RDBCloud SQL / AlloyDBAzure SQL / DB for PostgreSQL
NoSQLFirestore / BigtableCosmos DB
NewSQLSpannerCosmos DB for PostgreSQL
IdentityCloud IdentityEntra ID (formerly Azure AD)
SIEMChronicleMicrosoft Sentinel
LLMGemini / Model GardenAzure OpenAI (GPT-4) / Foundry
MLOpsVertex AIAzure ML
HybridGKE Enterprise (Anthos)Azure Arc / Stack

VM Price Comparison (us-east, 4 vCPU + 16 GB)

ServicePrice/hrDiscounts
GCE e2-standard-4$0.134Sustained Use 30% / CUD 37%
Azure D4s v5$0.1921-year RI 40%
Spot (GCE)Up to 91% off
Spot (Azure)Up to 90% off

Kubernetes Comparison

ItemGKEAKS
Control plane price$0.10/hr (Standard) / Pod-based billing (Autopilot)Free tier / $0.10/hr (Standard Uptime SLA)
AutopilotExcellentAKS Automatic (GA in 2024)
Workload IdentityExcellentWorkload Identity (formerly Pod Identity)
Multi-clusterFleetFleet Manager

AI / LLM Comparison

ItemGCP Vertex AIAzure AI Foundry
First-party LLMGemini 2.0 (Flash/Pro/Ultra)
OpenAIGPT-4 / GPT-4o / o1
Anthropic ClaudeYes
Meta LlamaYesAvailable
MistralYesYes
Multimodal videoExcellent (Gemini 1M tokens)Available
Price (flagship)Gemini Pro $1.25/M tokGPT-4o $2.50/M tok

Identity / SSO Comparison

ItemCloud IdentityEntra ID
Free tierFree Edition availableFree tier available
SaaS SSOAvailableExcellent (thousands in gallery)
M365 integrationExcellent
Windows AD integrationDirectory SyncExcellent (native AD integration)
BeyondCorp / Zero TrustBeyondCorp EnterpriseConditional Access

Certification Comparison

ItemGCPAzure
Number of exams1550+
FoundationalCDL / GAIL ($99)AZ-900 / AI-900 / DP-900 ($165)
Main AssociateACE ($125)AZ-104 ($165)
Main ExpertPCA / PMLE / PDE ($200)AZ-305 / AI-102 / DP-700 ($165)
Renewal2 years (Associate/Pro)1 year (continuing education)

How to Choose

  • M365 / Windows / .NET centric → Azure
  • AI / GenAI / data analytics centric → GCP
  • Container-native developmentGCP (Cloud Run / GKE Autopilot)
  • GPT-4 required → Azure OpenAI
  • Multicloud + hybridAzure Arc / GCP GKE Enterprise (roughly tied)
  • Real-time big data analytics → GCP BigQuery
  • Enterprise identity integration → Azure Entra ID

What is the market share of GCP vs Azure?

As of 2026, global IaaS+PaaS share is AWS 30%, Azure 25%, and GCP 12%. In Japan, Azure has higher adoption thanks to Microsoft 365, while GCP is growing rapidly on the back of its AI and data strengths.

Which is cheaper: Compute Engine or Azure VM?

Roughly equivalent. GCE applies a Sustained Use Discount automatically, while Azure relies on Reserved Instances plus the Hybrid Benefit for Windows and SQL Server.

BigQuery or Azure Synapse: which should I choose?

Choose BigQuery if you want a serverless warehouse with Gemini integration. Choose Synapse / Fabric if Microsoft Fabric or Power BI integration matters. Since 2024, GCP has been strengthening BigQuery + Looker integration to counter Fabric.

What is the difference between Cloud Run and Container Apps?

Both are Knative-based serverless container platforms with similar features. Cloud Run has a simpler UX and faster cold starts; Container Apps stands out with Dapr integration and built-in KEDA support.

Should I use Gemini or Azure OpenAI?

If you must have the GPT-4 family, Azure OpenAI is the only choice; otherwise Gemini is cheaper. Gemini dominates for multimodal video. For code generation, Claude Sonnet 4 is currently the strongest, and Vertex AI lets you access both.

How do they compare on identity and SSO?

Entra ID (formerly Azure AD) dominates thanks to M365 and Windows AD integration; GCP Cloud Identity is still catching up. For hybrid identity, Azure-centric designs are usually more practical.

What about hybrid cloud support?

Azure leads with Azure Arc and Azure Stack. GCP counters with GKE Enterprise (formerly Anthos). Multicloud management is roughly a tie.

Which has easier-to-earn certifications?

Azure has 50+ exams; AZ-900 (Fundamentals) is the entry point at $165. GCP has 15 exams; CDL (Foundational) is $99. Azure is more granular with more exams; GCP keeps things simpler.

Related Articles / Cloud Comparisons

GCP vs AWS コンピュート徹底比較|EC2/GCE・GKE/EKS・Lambda/Cloud Run・料金 (2026)

GCP と AWS のコンピュートサービスを徹底比較。Compute Engine vs EC2、GKE vs EKS、Cloud Run vs Lambda、App Engine vs Elastic Beanstalk、GPU/TPU、Arm 系 (Axion vs Graviton)、料金体系・Sustained Use Discount を 2026 年最新版で網羅。

GCP vs AWS ストレージ・DB 徹底比較|GCS/S3・BigQuery/Redshift・Spanner/DynamoDB (2026)

GCP と AWS のストレージ・データベースを徹底比較。Cloud Storage vs S3、BigQuery vs Redshift、Spanner vs DynamoDB / Aurora DSQL、Cloud SQL vs RDS、AlloyDB vs Aurora、Firestore vs DynamoDB、Bigtable vs DynamoDB を 2026 年最新版で網羅。

Cloud Run vs AWS Lambda vs Azure Container Apps 徹底比較|サーバレス選び方 (2026)

Cloud Run / AWS Lambda / Azure Container Apps の徹底比較。料金、Cold Start、Container 自由度、イベント駆動、GPU 対応、無料枠、Min Instance / Provisioned Concurrency、典型ユースケースを 2026 年最新版で網羅。

Vertex AI vs SageMaker vs Azure ML 徹底比較|MLOps プラットフォーム選び方 (2026)

Google Vertex AI / AWS SageMaker / Azure ML の徹底比較。Gen AI 統合 (Gemini / Bedrock / Azure OpenAI)、AutoML、Pipelines、Feature Store、GPU/TPU、料金、認定試験を 2026 年最新版で網羅。

* Google Cloud and Microsoft Azure are trademarks of their respective owners. Please check each vendor's official site for the latest pricing.

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NicheeLab Editorial Team

NicheeLab editorial team focused on data engineering and cloud certification learning. Content is structured around practical study needs and official exam domains.


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