{"id":48,"date":"2025-07-21T03:06:20","date_gmt":"2025-07-21T03:06:20","guid":{"rendered":"https:\/\/pin.sofamoci.com\/?p=48"},"modified":"2025-07-21T03:06:20","modified_gmt":"2025-07-21T03:06:20","slug":"the-ultimate-cloud-service-mapping-between-aws-azure-and-gcp","status":"publish","type":"post","link":"https:\/\/pin.sofamoci.com\/?p=48","title":{"rendered":"The Ultimate Cloud Service Mapping Between AWS, Azure, and GCP"},"content":{"rendered":"

As cloud adoption continues to accelerate in 2025, organizations are increasingly working in multi-cloud environments<\/strong> or switching providers. However, navigating services across AWS (Amazon Web Services)<\/strong>, Microsoft Azure<\/strong>, and Google Cloud Platform (GCP)<\/strong> can be confusing due to differing terminologies, features, and architectures.<\/p>\n

This ultimate cloud service mapping guide helps you understand the equivalent services across AWS, Azure, and GCP<\/strong>, making it easier to compare, migrate, or build multi-cloud strategies.<\/p>\n

\n

\u2601\ufe0f Why Cloud Service Mapping Matters<\/h2>\n

Each cloud provider offers similar core services\u2014compute, storage, databases, AI, networking\u2014but they often use different names and APIs<\/strong>. Having a cloud services comparison cheat sheet<\/strong> is crucial for:<\/p>\n

    \n
  • Multi-cloud planning<\/strong><\/li>\n
  • Workload migration<\/strong><\/li>\n
  • Skill transfer across platforms<\/strong><\/li>\n
  • Cost optimization and service evaluation<\/strong><\/li>\n<\/ul>\n
    \n

    \ud83d\udd04 Cloud Service Mapping: AWS vs Azure vs GCP<\/h2>\n

    Here\u2019s a side-by-side comparison of core cloud services<\/strong>:<\/p>\n

    1. Compute Services<\/strong><\/h3>\n\n\n\n\n\n\n\n\n
    Service Type<\/th>\nAWS<\/th>\nAzure<\/th>\nGoogle Cloud<\/th>\n<\/tr>\n<\/thead>\n
    Virtual Machines<\/td>\nEC2<\/td>\nVirtual Machines<\/td>\nCompute Engine<\/td>\n<\/tr>\n
    Containers<\/td>\nECS \/ EKS \/ Fargate<\/td>\nAzure Kubernetes Service (AKS)<\/td>\nGoogle Kubernetes Engine (GKE)<\/td>\n<\/tr>\n
    Serverless<\/td>\nAWS Lambda<\/td>\nAzure Functions<\/td>\nCloud Functions<\/td>\n<\/tr>\n
    Auto-scaling<\/td>\nEC2 Auto Scaling<\/td>\nVirtual Machine Scale Sets<\/td>\nManaged Instance Groups<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \n

    2. Storage Services<\/strong><\/h3>\n\n\n\n\n\n\n\n\n
    Service Type<\/th>\nAWS<\/th>\nAzure<\/th>\nGoogle Cloud<\/th>\n<\/tr>\n<\/thead>\n
    Object Storage<\/td>\nS3<\/td>\nBlob Storage<\/td>\nCloud Storage<\/td>\n<\/tr>\n
    Block Storage<\/td>\nEBS<\/td>\nAzure Disk Storage<\/td>\nPersistent Disks<\/td>\n<\/tr>\n
    File Storage<\/td>\nEFS<\/td>\nAzure Files<\/td>\nFilestore<\/td>\n<\/tr>\n
    Archival<\/td>\nGlacier<\/td>\nAzure Archive Storage<\/td>\nArchive Storage<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \n

    3. Databases<\/strong><\/h3>\n\n\n\n\n\n\n\n\n
    Service Type<\/th>\nAWS<\/th>\nAzure<\/th>\nGoogle Cloud<\/th>\n<\/tr>\n<\/thead>\n
    Relational DB (Managed)<\/td>\nRDS<\/td>\nAzure SQL Database<\/td>\nCloud SQL<\/td>\n<\/tr>\n
    NoSQL Document DB<\/td>\nDynamoDB<\/td>\nCosmos DB<\/td>\nFirestore<\/td>\n<\/tr>\n
    In-memory Cache<\/td>\nElastiCache<\/td>\nAzure Cache for Redis<\/td>\nMemorystore<\/td>\n<\/tr>\n
    Data Warehousing<\/td>\nRedshift<\/td>\nSynapse Analytics<\/td>\nBigQuery<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \n

    4. AI & Machine Learning<\/strong><\/h3>\n\n\n\n\n\n\n\n
    Service Type<\/th>\nAWS<\/th>\nAzure<\/th>\nGoogle Cloud<\/th>\n<\/tr>\n<\/thead>\n
    AI Platform<\/td>\nSageMaker<\/td>\nAzure Machine Learning<\/td>\nVertex AI<\/td>\n<\/tr>\n
    Pre-trained APIs<\/td>\nRekognition, Polly, Comprehend<\/td>\nAzure Cognitive Services<\/td>\nCloud Vision, Natural Language<\/td>\n<\/tr>\n
    Speech-to-Text<\/td>\nAmazon Transcribe<\/td>\nAzure Speech<\/td>\nSpeech-to-Text<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \n

    5. Networking<\/strong><\/h3>\n\n\n\n\n\n\n\n\n
    Service Type<\/th>\nAWS<\/th>\nAzure<\/th>\nGoogle Cloud<\/th>\n<\/tr>\n<\/thead>\n
    Virtual Network<\/td>\nVPC<\/td>\nVirtual Network (VNet)<\/td>\nVPC<\/td>\n<\/tr>\n
    Load Balancing<\/td>\nElastic Load Balancer<\/td>\nAzure Load Balancer \/ App Gateway<\/td>\nCloud Load Balancing<\/td>\n<\/tr>\n
    DNS<\/td>\nRoute 53<\/td>\nAzure DNS<\/td>\nCloud DNS<\/td>\n<\/tr>\n
    CDN<\/td>\nCloudFront<\/td>\nAzure CDN<\/td>\nCloud CDN<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \n

    6. Monitoring & DevOps<\/strong><\/h3>\n\n\n\n\n\n\n\n\n
    Service Type<\/th>\nAWS<\/th>\nAzure<\/th>\nGoogle Cloud<\/th>\n<\/tr>\n<\/thead>\n
    Monitoring<\/td>\nCloudWatch<\/td>\nAzure Monitor<\/td>\nCloud Monitoring<\/td>\n<\/tr>\n
    Logging<\/td>\nCloudTrail<\/td>\nAzure Log Analytics<\/td>\nCloud Logging<\/td>\n<\/tr>\n
    CI\/CD<\/td>\nCodePipeline \/ CodeBuild<\/td>\nAzure DevOps \/ GitHub Actions<\/td>\nCloud Build \/ Cloud Deploy<\/td>\n<\/tr>\n
    IaC<\/td>\nCloudFormation<\/td>\nARM Templates \/ Bicep<\/td>\nDeployment Manager \/ Terraform<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \n

    7. Identity & Access Management<\/strong><\/h3>\n\n\n\n\n\n\n\n
    Service Type<\/th>\nAWS<\/th>\nAzure<\/th>\nGoogle Cloud<\/th>\n<\/tr>\n<\/thead>\n
    IAM<\/td>\nAWS IAM<\/td>\nAzure Active Directory (Entra ID)<\/td>\nIAM<\/td>\n<\/tr>\n
    SSO & Federation<\/td>\nCognito \/ IAM Federation<\/td>\nEntra ID<\/td>\nIdentity Platform<\/td>\n<\/tr>\n
    Policy Management<\/td>\nIAM Policies<\/td>\nRole-Based Access Control (RBAC)<\/td>\nIAM Policies<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \n

    \ud83d\udcc8 Key Insights for 2025<\/h2>\n
      \n
    • AWS<\/strong> continues to lead in breadth of services and global infrastructure.<\/li>\n
    • Azure<\/strong> excels in enterprise integration, especially for Microsoft-based workloads.<\/li>\n
    • GCP<\/strong> stands out for data analytics<\/strong>, AI\/ML capabilities<\/strong>, and developer-friendly tools<\/strong>.<\/li>\n
    • Cloud-native services such as serverless computing<\/strong>, Kubernetes<\/strong>, and AI APIs<\/strong> are becoming the default for modern workloads.<\/li>\n
    • Multi-cloud strategies are driving the need for portable architecture<\/strong> and service parity<\/strong>.<\/li>\n<\/ul>\n
      \n

      \u2705 Choosing the Right Provider: What to Consider<\/h2>\n

      When comparing services across clouds, evaluate:<\/p>\n

        \n
      • Your team\u2019s familiarity<\/strong> with platforms<\/li>\n
      • Application architecture<\/strong> and dependencies<\/li>\n
      • Compliance and data sovereignty<\/strong><\/li>\n
      • Pricing models<\/strong> (e.g., sustained use vs reserved vs pay-as-you-go)<\/li>\n
      • Integration needs<\/strong> with existing systems (e.g., Microsoft 365, AWS S3)<\/li>\n<\/ul>\n
        \n

        \ud83d\udccc Conclusion<\/h2>\n

        Understanding the service equivalence between AWS, Azure, and GCP<\/strong> empowers businesses to make informed cloud decisions. Whether you’re migrating, going multi-cloud, or simply comparing features, having a service mapping reference like this helps reduce friction and accelerate your cloud strategy.<\/p>\n

        Keep this guide bookmarked as a quick-reference cloud comparison sheet<\/strong> as you architect your next-gen infrastructure in 2025 and beyond.<\/p>\n

        \n

        \ud83d\udd0d SEO Meta Title:<\/h3>\n

        The Ultimate Cloud Service Mapping Between AWS, Azure, and GCP (2025 Guide)<\/p>\n

        \ud83d\udcc4 SEO Meta Description:<\/h3>\n

        Compare AWS, Azure, and GCP services side by side. This 2025 cloud mapping guide breaks down compute, storage, databases, AI, and more for smarter cloud decisions.<\/p>\n

         <\/p>\n","protected":false},"excerpt":{"rendered":"

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