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Hyperscalers

Hyperscalers

Top Hyperscaler Platforms: AWS, Azure & GCP

Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) are the leading hyperscaler cloud providers, offering a wide range of compute, storage, networking, AI/ML, and developer services. AWS stands out for its global reach, diverse service catalog, and robust ecosystem. Azure excels in hybrid cloud integration, enterprise support, and seamless compatibility with Microsoft tools. GCP is recognized for analytics, machine learning, and developer-friendly containerization. Together, these platforms enable businesses to scale efficiently, secure data, and drive innovation with cloud-native solutions.
Cloud Features Comparison

AWS, Azure, and Google Cloud are leading cloud platforms that provide global compute, storage, networking, AI, and developer services—enabling scalable, secure, and modern digital infrastructure for businesses.

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Hyperscalers Compared

AWS, Azure, and Google Cloud are leading cloud platforms that provide compute, storage, networking, AI, and developer services—enabling scalable, secure, and modern business infrastructure.

View Document

What is Amazon Web Services?

Amazon Web Services (AWS) was the first cloud computing platform launched in 2006. It is the market pioneer and leader in cloud computing with a global network of data centers that offer IaaS (Infrastructure as a platform), SaaS (Software as a Service), and PaaS (Platform as a Service) solutions.

Some of its key services are:

  • Compute – Amazon EC2, AWS Lambda, AWS Fargate
  • Storage – Amazon S3, Amazon EBS, AWS Backup
  • Databases and data management – Amazon RDS, DynamoDB, Amazon Redshift, AWS Glue
  • Networking and content delivery – Amazon VPC, AWS Direct Connect, Amazon CloudFront
  • Monitoring and security – AWS CloudTrail, AWS IAM, AWS WAF, AWS Shield
  • Artificial intelligence and machine learning – Amazon SageMaker, AWS Lex , AWS Rekognition
  • Development and DevOps – AWS CodePipeline, AWS CodeDeploy, AWS CloudFormation
  • Application services – AWS Step Functions, AWS App Runner, AWS Elastic Beanstalk
  • Mobile and edge computing – AWS AppSync, AWS Wavelength, AWS IoT Core AWS offers hundreds of services, but these categories highlight some of its most widely used solutions.

What is Microsoft Azure?

Microsoft Azure, formerly known as Windows Azure, was publicly available in 2010 and is widely used by businesses to host applications, data analytics, IoT, and machine learning. It’s particularly strong in enterprise computing and appeals to companies already using Microsoft technologies.

Some of its key services are:

  • Compute – Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions
  • Networking – Azure Virtual Network, Azure Load Balancer, Azure ExpressRoute
  • Storage and databases – Azure Blob Storage, Azure Files, Azure Cosmos DB, Azure SQL Database
  • Artificial intelligence and machine learning – Azure Machine Learning, Azure Cognitive Services, Azure Bot Services
  • IoT and edge computing – Azure IoT Hub, Azure Sphere, Azure Edge Zones
  • Security and identity management – Azure Active Directory (AD), Microsoft Defender for Cloud, Azure Key Vault
  • Monitoring and management – Azure Monitor, Azure Security Center, Azure Automation
  • Developer tools and DevOps – Azure DevOps, Azure Logic Apps, Azure API Management
  • Hybrid and multi - cloud – Azure Arc, Azure Stack, Azure Site Recovery

What is Google Cloud Platform?

Google Cloud Platform (GCP)is Google’s suite of cloud computing services, launched in2008. GCP offers the same infrastructure that Google uses for its own products, such asGmail and YouTube, which makes it particularly attractive to companies focusing on bigdata and AI applications.

Some of its key services are:

  • Compute – Google Compute Engine (GCE), Google App Engine (GAE), Google Cloud Run
  • Containers and Kubernetes – Google Kubernetes Engine (GKE), Anthos, Cloud Run
  • Storage and databases – Google Cloud Storage, Cloud SQL, Bigtable, Firestore
  • Networking and content delivery – Google Virtual Private Cloud (VPC), Cloud CDN, Cloud Interconnect
  • Big data and analytics – B igQuery, Dataflow, Dataproc, Pub/Sub
  • Artificial intelligence and machine learning – Vertex AI, AutoML, TensorFlow Enterprise
  • Monitoring and security – Google Cloud Operations Suite, Security Command Center, Identity - Aware Proxy
  • IoT and edge computing – Cloud IoT Core, Edge TPU, Cloud Functions
  • Developer tools and DevOps – Cloud Build, Artifact Registry, Firebase, Cloud APIs
  • Hybrid and multi - cloud – Google Anthos, Migrate for Compute Engine, Bare Metal Solution

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