Technology Comparison 2025
Cloud Platforms
A detailed comparison of the three leading hyperscalers – with a particular focus on Industry 4.0 and Digital Manufacturing.
Overview
Which cloud fits your factory?
Azure, AWS and Google Cloud are not interchangeable products. They differ fundamentally in strengths, pricing models, compliance depth and their approach to industrial applications. This comparison provides the facts for a well-founded decision.
Microsoft Azure
Amazon Web Services
Google Cloud Platform
01
Section 01
Company & Market Overview
| Criterion | Microsoft Azure | Amazon Web Services | Google Cloud Platform |
|---|---|---|---|
| Market Share (2024) | ~24 %Rank 2 worldwide | ~31 %Rank 1 worldwide | ~11 %Rank 3 worldwide |
| Founded | 2010 | 2006 | 2008 |
| Annual Cloud Revenue (2024) | ~$105 Mrd. | ~$100 Mrd. | ~$36 Mrd. |
| Parent Company | Microsoft Corporation | Amazon.com, Inc. | Alphabet Inc. (Google) |
| Headquarters | Redmond, WA, USA | Seattle, WA, USA | Mountain View, CA, USA |
| Target Audience | Large enterprises, Microsoft ecosystem | All segments, broad industry coverage | Tech startups, data & AI-focused companies |
| Strengths Summary | EnterpriseHybridMicrosoft 365 | Market LeaderMature ServicesCommunity | Big DataKI/MLKubernetes |
02
Section 02
Global Infrastructure
| Criterion | Microsoft Azure | Amazon Web Services | Google Cloud Platform |
|---|---|---|---|
| Regions worldwide | ~60+ Regionen | ~33 Regionen | ~40 Regionen |
| Availability Zones | 3–5 per region | 2–6 per region (Ø 3) | 3 per region (fix) |
| Edge Locations / PoPs | ~200+ Edge-Standorte | ~700+ Edge-Standorte (CloudFront) | ~200+ Edge-Standorte |
| Germany Locations | Frankfurt, Berlin (planned)German Cloud in cooperation with T-Systems | Frankfurt (eu-central-1)Dedicated Local Zones available | Frankfurt (europe-west3)Expansion in preparation |
| Own Global Network | ✓ JaAzure Global Network | ✓ JaAWS Backbone Network | ✓ JaGoogle's own undersea cable network – industry-leading |
| Sovereign / Government Cloud | Azure GovernmentAzure Germany | AWS GovCloud | Google Sovereign Cloud (neu) |
| SLA Availability | 99,9 % – 99,99 % (je Service) | 99,9 % – 99,99 % (je Service) | 99,9 % – 99,99 % (je Service) |
03
Section 03
Compute Services
| Dienst | Microsoft Azure | Amazon Web Services | Google Cloud Platform |
|---|---|---|---|
| Virtual Machines (IaaS) | |||
| VM Service Name | Azure Virtual Machines | Amazon EC2 | Compute Engine |
| Instance Families | A, B, D, E, F, G, H, L, M, N … (General Purpose, Speicher-optimiert, GPU etc.) | T, M, C, R, X, U, Z, P, G, Inf … (broadest selection worldwide) | E2, N2, C2, M1–M3, A2 (GPU), T2A (ARM) |
| Bare Metal Instances | Limited | Ja – Dedicated Hosts | Sole-Tenant Nodes |
| ARM / Custom Processors | Ampere Altra (Dpsv5) | AWS Graviton 4 (eigener ARM) | T2A (Ampere Altra) |
| Spot-/Preemptible-VMs | Azure Spot VMs (bis –90 %) | EC2 Spot Instances (bis –90 %) | Spot VMs / Preemptible (bis –91 %) |
| Container & Kubernetes | |||
| Managed Kubernetes | AKS (Azure Kubernetes Service) | EKS (Elastic Kubernetes Service) | GKE (Google Kubernetes Engine) — Kubernetes was invented by Google |
| Serverless Containers | Azure Container Apps / ACI | AWS Fargate / ECS | Cloud Run Marktführend |
| Serverless / FaaS | |||
| Functions-as-a-Service | Azure Functions | AWS Lambda | Cloud Functions / Cloud Run Functions |
| Cold Start Performance | Mittel | MittelSnapStart für Java | GutEspecially with Cloud Run |
| Specialized Compute | |||
| GPU Instances (AI/HPC) | NC, ND, NV-Serie (NVIDIA H100, A100) | P, G, Trn, Inf-Serie (NVIDIA + eigene Trainium/Inferentia) | A100, H100, TPU v5 (eigene Tensor Processing Units) |
| Proprietary AI Chips | Nein | Trainium 2 & Inferentia 3 | TPU v5 (Tensor Processing Unit) |
04
Section 04
Storage Services
| Dienst | Microsoft Azure | Amazon Web Services | Google Cloud Platform |
|---|---|---|---|
| Object Storage | Azure Blob StorageHot / Cool / Cold / Archive-Tier | Amazon S3De-facto standard; S3 Intelligent-Tiering | Cloud StorageStandard / Nearline / Coldline / Archive |
| Block Storage (for VMs) | Azure Managed Disks (HDD, SSD, Ultra) | Amazon EBS (gp3, io2, sc1, st1) | Persistent Disk (HDD, SSD, Extreme, Hyperdisk) |
| File Storage (NFS/SMB) | Azure Files SMB + NFS | Amazon EFS NFS / Amazon FSx (Windows, Lustre) | Filestore NFS |
| Archive Storage | Azure Archive (ab $0.00099/GB/Mt.) | S3 Glacier / Glacier Deep Archive | Cloud Storage Archive |
| Egress Costs | Mittel (~$0.087/GB) | Hoch (~$0.09/GB) | Low (~$0.08/GB; kostenfrei zu Google-Diensten) |
| Multi-Region Replication | Geo-redundanter Speicher (GRS/GZRS) | S3 Cross-Region Replication | Multi-Region Storage Buckets |
05
Section 05
Database Services
| Database Type | Microsoft Azure | Amazon Web Services | Google Cloud Platform |
|---|---|---|---|
| Relational DB (SQL) | Azure SQL DatabaseAzure DB für MySQL / PostgreSQL / MariaDB | Amazon RDS (MySQL, PostgreSQL, Oracle, SQL Server) Amazon Aurora — eigene High-Performance-Engine | Cloud SQL (MySQL, PostgreSQL, SQL Server) AlloyDB — PostgreSQL-kompatibel, up to 4× faster |
| NoSQL – Dokument | Azure Cosmos DB Multi-Model | Amazon DynamoDB Serverless | Firestore / Datastore |
| NoSQL – In-Memory | Azure Cache for Redis | Amazon ElastiCache (Redis & Memcached) / MemoryDB | Memorystore (Redis & Memcached) |
| Globally Distributed DB | Azure Cosmos DB5 Konsistenzlevel, Multi-Write global | DynamoDB Global Tables / Aurora Global | Cloud Spanner UniqueOnly globally consistent relational DB |
| Data Warehouse | Azure Synapse Analytics | Amazon Redshift | BigQuery Serverless DWHIndustry-leading for ad-hoc analytics |
| Time Series Data | Azure Time Series Insights | Amazon Timestream | BigTable (for ultra-high scale) |
| Graph Database | Azure Cosmos DB (Gremlin API) | Amazon Neptune | No native serviceRecommendation: Neo4j on GCE |
06
Section 06
AI & Machine Learning
| Dienst / Category | Microsoft Azure | Amazon Web Services | Google Cloud Platform |
|---|---|---|---|
| ML Platform | Azure Machine Learning | Amazon SageMaker | Vertex AI |
| Generative AI / LLMs | Azure OpenAI ServiceGPT-4o, DALL·E 3, Whisper, Embeddings (exklusiv) | Amazon BedrockClaude, Llama 3, Titan, Mistral, Stable Diffusion | Vertex AI Gemini APIGemini 1.5 Pro/Flash, Gemma 2, Imagen 3 |
| AI Partnership | OpenAIExclusive cloud partner, $13 Mrd. Investment | Anthropic(Claude), Amazon Titan (proprietary models) | Google DeepMind(Gemini – own development) |
| AutoML | Azure Automated ML | SageMaker Autopilot | Vertex AutoML Very mature |
| Vision AI (pre-trained) | Azure AI Vision (Gesicht, OCR, Custom Vision) | Amazon Rekognition | Vision AI / Document AI |
| Language / NLP | Azure AI Language (CLU, NER, Sentiment) | Amazon Comprehend / Transcribe / Polly | Natural Language AI / Speech-to-Text / Text-to-Speech |
| Recommendation Systems | Azure Personalizer | Amazon Personalize Very mature | No dedicated service |
| MLOps / Pipelines | Azure ML Pipelines + MLflow | SageMaker Pipelines + MLflow | Vertex AI Pipelines (Kubeflow-basiert) |
| AI Leadership Assessment | Strong (OpenAI integration) | Solid (multi-model strategy) | Industry-leading in research |
07
Section 07
Network, Security & Compliance
| Domain | Microsoft Azure | Amazon Web Services | Google Cloud Platform |
|---|---|---|---|
| Virtual Networks | Azure Virtual Network (VNet) | Amazon VPC (Virtual Private Cloud) | Google VPC (global, nicht regional) |
| VPC Architecture | Regional, must be peered | Regional, must be peered | Global — one VPC for all regions |
| Content Delivery | Azure CDN / Azure Front Door | Amazon CloudFront Marktführend | Cloud CDN / Cloud Armor |
| DDoS Protection | Azure DDoS Protection (Basic + Standard) | AWS Shield (Standard + Advanced) | Cloud Armor (with advanced rules) |
| Identity & Access Management | Microsoft Entra ID (Azure AD) Very mature – industry-leading | AWS IAMVery granular policy language | Google IAM + Cloud Identity |
| Zero Trust Architecture | Very matureMicrosoft 365 Defender-Integration | Gut | BeyondCorp Enterprise |
| Key Management | Azure Key Vault + HSM | AWS KMS + CloudHSM | Cloud KMS + Cloud HSM |
| GDPR / EU Compliance | Very goodEU Data Boundary, German data centre | GutFrankfurt region, GDPR add-on | Catching upSovereign Controls for EU |
| Compliance Certifications | 100+ (BSI C5, ISO 27001, SOC 1/2/3, HIPAA …) | 100+ (ähnliches Portfolio) | 60+ (wachsend) |
| SIEM / Security Monitoring | Microsoft Sentinel Marktführend | Amazon Security Lake / GuardDuty | Chronicle Security / Security Command Center |
08
Section 08
Developer Tools, DevOps & Integration
| Category | Microsoft Azure | Amazon Web Services | Google Cloud Platform |
|---|---|---|---|
| CI/CD Pipelines | Azure DevOps + GitHub Actions (Microsoft owns GitHub) | AWS CodePipeline / CodeBuild / CodeDeploy | Cloud Build / Cloud Deploy |
| Infrastructure as Code | ARM Templates / Bicep / Terraform | AWS CloudFormation / CDK / Terraform | Deployment Manager / Terraform Official Terraform Provider |
| Monitoring & Observability | Azure Monitor + Application Insights | Amazon CloudWatch + X-Ray | Cloud Monitoring + Cloud Trace + Cloud Logging |
| API Management | Azure API Management | Amazon API Gateway | Apigee Enterprise-gradeAcquired by Google in 2016 |
| Messaging / Event Streaming | Azure Service Bus / Event Hub / Event Grid | Amazon SQS / SNS / Kinesis / EventBridge | Pub/Sub / Eventarc / Cloud Tasks |
| Kafka-compatible Streaming | Azure Event Hubs for Kafka | Amazon MSK (Managed Kafka) | Cloud Pub/Sub (no native Kafka) |
| IDE Integration | Very goodVS Code, Visual Studio, GitHub Copilot | GutAWS Toolkit, Amazon Q Developer | GutCloud Shell, Cloud Code für VS Code/JetBrains |
| Cloud Shell | Azure Cloud Shell (Bash + PowerShell) | AWS CloudShell | Google Cloud Shell Free VM access |
09
Section 09
Pricing Models & Cost Optimisation
| Aspect | Microsoft Azure | Amazon Web Services | Google Cloud Platform |
|---|---|---|---|
| Base Model | Pay-as-you-go | Pay-as-you-go | Pay-as-you-go |
| Reservations / Discounts | Azure Reserved Instances (1 / 3 Jahre, bis –72 %) | EC2 Reserved Instances / Savings Plans (bis –72 %) Most flexible options | Committed Use Discounts (1 / 3 Jahre, bis –57 %) |
| Automatic Discounts | Nein | Nein | Sustained Use DiscountsAutomatically applied from 25% monthly usage |
| Free Tier | 12 Monate + always free services | 12 Monate + always free services Widest offering | $300 Credit (90 Tage) + always free services |
| Hybrid Benefit (Licenses) | Azure Hybrid BenefitWindows Server & SQL Server licences applicable — exclusive | Not available | Not available |
| Preistransparenz | Azure Pricing Calculator | AWS Pricing Calculator | Google Cloud Pricing Calculator Clearest interface |
| Cost Management Tool | Azure Cost Management + Billing | AWS Cost Explorer + Budgets | Cloud Billing + Cost Management |
10
Section 10
Hybrid Cloud, On-Premises & Edge Computing
| Dienst | Microsoft Azure | Amazon Web Services | Google Cloud Platform |
|---|---|---|---|
| Cloud Extensions for On-Prem | Azure Arc MarktführendManage any infrastructure from Azure | AWS OutpostsAWS hardware in customer data centre | Google Distributed CloudGKE/Anthos for on-prem and air-gapped |
| Multi-Cloud Management | Azure Arc (also manage GCP/AWS VMs) | AWS Systems Manager (limited) | Anthos (Kubernetes über alle Clouds) Leading in multi-cloud K8s |
| 5G / Edge / IoT | Azure IoT Hub / Azure Stack Edge / Private MEC | AWS IoT Core / Wavelength (5G-Edge) / Greengrass | Cloud IoT Core / Distributed Cloud Edge |
| VPN Connectivity | Azure VPN Gateway / ExpressRoute | AWS VPN / Direct Connect | Cloud VPN / Cloud Interconnect |
| SAP Integration | Very goodAzure Center for SAP Solutions | Gut | Growing |
11
Section 11
Ecosystem, Support & Community
| Criterion | Microsoft Azure | Amazon Web Services | Google Cloud Platform |
|---|---|---|---|
| Partner Ecosystem | 100.000+ certified partners worldwide | 130.000+ Partner im AWS Marketplace | 11.500+ Partner im Google Cloud Partner Ecosystem |
| Marktplatz (3rd-Party) | Azure Marketplace (~20.000+ Angebote) | AWS Marketplace (~15.000+ Angebote) Most mature marketplace | Google Cloud Marketplace (~3.000+ Angebote) |
| Documentation Quality | Very goodMicrosoft Learn-Plattform | Very goodMost comprehensive documentation | GutGoogle Cloud Docs |
| Zertifizierungen | AZ-900 bis AZ-305; Spezialisierungen | Cloud Practitioner bis Solutions Architect Pro; most widely adopted | Cloud Digital Leader bis Professional; 3 Professional-Pfade |
| Open Source Engagement | HochGitHub, VS Code, .NET Core, TypeScript | MittelCDK, Bottlerocket, OpenSearch | Very highKubernetes, TensorFlow, Go, gRPC, Chromium |
| Support Plans | Basic / Developer / Standard / Professional Direct / Premier | Basic / Developer / Business / Enterprise On-Ramp / Enterprise | Basic / Standard / Enhanced / Premium |
| Cheapest paid support | Developer: ab $29/Mt. | Developer: ab $29/Mt. | Standard: ab $150/Mt. |
| Sustainability / CO₂ | 100 % erneuerbar (seit 2025) | ~100 % erneuerbar (2025 Ziel) | Carbon-neutral since 2007Cleanest cloud operations per analysts |
12
Section 12
Industry 4.0 / Digital Manufacturing / IIoT
| Domain | Microsoft Azure | Amazon Web Services | Google Cloud Platform |
|---|---|---|---|
| IoT Platform | Azure IoT Hub + IoT Central Marktführend | AWS IoT Core + IoT SiteWise + Greengrass | Cloud IoT Core(more limited than competitors) |
| Digital Twin | Azure Digital Twins Dedicated ServiceDTDL modelling language, spatial models | AWS IoT TwinMaker | No dedicated serviceImplemented via Vertex AI + 3D partners |
| Industrial Metaverse | Microsoft Mesh + Azure Digital TwinsHoloLens integration, Mixed Reality | AWS IoT + Simulation | Immersive Stream + Vertex AI |
| Predictive Maintenance | Azure Anomaly Detector + ML | Amazon Monitron / Lookout for Equipment | Vertex AI + Cloud IoT |
| 3D Visualisation / CAD | Azure Remote Rendering (HoloLens) | No dedicated service | Immersive Stream for XR |
| ERP-/SAP Integration | Very strongMicrosoft Dynamics 365 + Azure = end-to-end suite | Gut | Growing |
13
Section 13
Summary: Which Platform for Which Use Case?
| Use Case | Azure recommended when … | AWS recommended when … | GCP recommended when … |
|---|---|---|---|
| Primary Strength | Enterprise + Microsoft ecosystem + Hybrid | Marktbreite + Mature Services + Community | Data & AI + Cloud-native + Kubernetes |
| Best-fit Scenario | Microsoft 365 environment, Windows Server workloads, SAP on cloud, Industry 4.0 | Maximum service selection, AWS-experienced team, start-ups with rapid growth | Big Data Analytics, ML/AI projects, Kubernetes-native applications, cost-optimised workloads |
| Typical Customer Industries | Manufacturing, financial sector, public administration (Germany) | E-Commerce, Media & Entertainment, Start-ups, global enterprises | Tech companies, Media, Gaming, Life Sciences, Retail |
| Weakness | Complex pricing structure, fewer cloud-native services | Höchste Egress Costs, „Vendor Lock-in"-Risiko am größten | Smaller enterprise sales network, less GDPR maturity (Europe) |
Stand: 2025 — Information without guarantee; services and prices change continuously.
Sources: Gartner Magic Quadrant, Synergy Research Group, official vendor documentation.
Sources: Gartner Magic Quadrant, Synergy Research Group, official vendor documentation.
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