AWS vs Azure vs GCP: What Are The Key Differences?

We mostly used AWS, Azure, and  GCP cloud services and their comparisons. Listing all the services would be an extensive list, as each cloud provider offers a wide range of services and continuously adds new ones. We have provided a comprehensive list.

AWS

Azure

Google Cloud Platform (GCP)

Computer Services:

  • Amazon EC2
  • AWS Lambda
  • Amazon ECS
  • AWS Elastic Beanstalk
  • Azure Virtual Machines
  • Azure App Service
  • Azure Kubernetes Service (AKS)
  • Azure Functions
  • Azure Container
  • Instances Azure
  • Batch Azure
  • Service Fabric
  • Compute Engine
  • App Engine
  • Google Kubernetes Engine (GKE)
  • Cloud Functions

Storage Services:

  • Amazon S3
  • Amazon EBS
  • Amazon RDS
  • Amazon DynamoDB
  • Azure Blob Storage
  • Azure Files
  • Azure Queue Storage
  • Azure Disk Storage
  • Azure Data Lake Storage
  • Azure NetApp Files
  • Cloud Storage
  • Cloud SQL
  • Bigtable
  • Cloud Spanner

Networking Services:

  • Amazon VPC
  • Elastic Load Balancing
  • Amazon CloudFront
  • Direct Connect
  • Azure Virtual Network (VNet)
  • Azure Load Balancer
  • Azure Application Gateway
  • Azure VPN Gateway
  • Azure Content Delivery Network (CDN)
  • Azure ExpressRoute
  • Virtual Private Cloud (VPC)
  • Load Balancing
  • Cloud CDN
  • Cloud Interconnect

Database Services:

  • Amazon Redshift
  • Amazon DocumentDB
  • Amazon Neptune
  • Amazon Timestream
  • Azure SQL Database
  • Azure Cosmos DB
  • Azure Database for PostgreSQL/MySQL
  • Azure Synapse Analytics
  • Azure Cache for Redis
  • Azure SQL Managed Instance
  • BigQuery
  • Cloud Firestore
  • Cloud Bigtable
  • Cloud Spanner

AI and Machine Learning Services:

  • Amazon SageMaker
  • Amazon Rekognition
  • Amazon Comprehend
  • Amazon Lex
  • Azure Machine Learning
  • Azure Cognitive Services
  • Azure Bot Service
  • Azure Databricks
  • Azure Custom Vision
  • Azure Form Recognizer
  • AI Platform
  • Vision AI
  • Natural Language Processing (NLP)
  • Dialogflow

Analytics and Big Data:

  • Amazon EMR
  • Amazon Kinesis
  • Amazon QuickSight
  • AWS Glue
  • Azure HDInsight
  • Azure Stream Analytics
  • Azure Data Lake Analytics
  • Azure Data Factory
    Power BI
  • Azure Data Explorer
  • Dataflow
  • Dataprep
  • Pub/Sub
  • Data Studio

IoT and Edge Computing:

  • AWS IoT Core
  • AWS Greengrass
  • IoT Analytics
  • IoT Device Management
  • Azure IoT Hub
  • Azure IoT Edge
  • Azure Sphere
  • Azure Digital Twins
  • Azure Time Series Insights
  • Cloud IoT Core
  • Edge TPU
  • Cloud Run

Security and Identity:

  • AWS Identity and Access Management (IAM)
  • AWS Key Management Service (KMS)
  • AWS Web Application Firewall (WAF)
  • Amazon GuardDuty
  • Azure Active Directory
  • Azure Key Vault
  • Azure Security Center
  • Azure Firewall
  • Azure Sentinel
  • Azure Information Protection
  • Identity and Access Management (IAM)
  • Cloud Identity
  • Security Command Center

Developer Tools:

  • AWS CodeCommit
  • AWS CodeBuild
  • AWS CodeDeploy
  • AWS CodePipeline
  • Azure DevOps Services
  • Azure Container Registry
  • Azure Logic Apps
  • Azure API Management
  • Cloud Build
  • Cloud Source Repositories
  • Cloud Debugger

Note that each cloud provider offers many more specialized services and tools across multiple categories to satisfy a wide range of cloud computing and infrastructure needs, thus this is not an entire list. In order to remain competitive and meet changing customer needs, these providers also regularly launch new features and services. We are attempting to stay current with all new offerings.

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