Difference between AWS, Azure and GCP

Amazon Elastic Compute Cloud (EC2) is a service offered by Amazon Web Services (AWS) that allows users to rent virtual computers on which to run their own applications. Azure Virtual Machines (VMs) is a service offered by Microsoft Azure that allows users to create and manage virtual machines in the Azure cloud. Google Compute Engine (GCE) is a service offered by Google Cloud Platform (GCP) that allows users to create and run virtual machines on Google’s infrastructure.

All three services offer similar capabilities, such as the ability to create and manage virtual machines and provide a variety of operating systems and configurations to choose from. However, there are some differences in pricing, features, and the ecosystem of tools and services that each provider offers. It’s recommended to evaluate the specific requirements of your use case and compare the features and pricing of each service before making a decision.

Platform as a Service (PaaS) is a cloud computing model that provides users with a platform to develop, run, and manage applications without the need to handle underlying infrastructure.

Amazon Web Services (AWS) offers a PaaS service called Elastic Beanstalk, which allows developers to easily deploy, run, and scale web applications and services. It supports a variety of programming languages and frameworks, including Java, .NET, PHP, Node.js, Python, Ruby, and Go.

Azure PaaS provides a platform for building, deploying, and scaling web applications, mobile apps, and integration services. Azure App Service is a fully managed platform for building, deploying, and scaling web apps. Azure Functions is a serverless compute service that enables you to run code on-demand without having to provision or manage infrastructure.

Google Cloud Platform (GCP) offers a PaaS service called Google App Engine, which allows developers to build and run applications on the same infrastructure that powers Google’s own applications. It supports a variety of programming languages and frameworks, including Java, Python, PHP, and Go. GCP also provides Cloud Functions, a serverless compute service that allows developers to run code without provisioning or managing servers.

Please note that this table is not an exhaustive list of all the features and capabilities of each PaaS service, and the specific features and capabilities of each service may vary. It’s recommended to evaluate the specific requirements of your use case and compare the features of each service before making a decision.

All three major cloud providers, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) offer a wide range of storage and database services.

AWS offers services such as Amazon Simple Storage Service (S3) for object storage, Amazon Elastic Block Store (EBS) for block storage, and Amazon Relational Database Service (RDS) for relational databases. It also offers Amazon DynamoDB for NoSQL databases, Amazon Redshift for data warehousing, and Amazon Elastic File System (EFS) for file storage.

Azure offers services such as Azure Blob Storage for object storage, Azure Disk Storage for disk storage, and Azure SQL Database for relational databases. It also offers Azure Cosmos DB for NoSQL databases, Azure Data Lake Storage for data lake storage, and Azure File Storage for file storage.

GCP offers services such as Google Cloud Storage for object storage, Persistent Disk for block storage, and Cloud SQL for relational databases. It also offers Cloud Bigtable for NoSQL databases, BigQuery for data warehousing, and Filestore for file storage.

Please note that this table is not an exhaustive list of all the features and capabilities of each storage and database service, and the specific features and capabilities of each service may vary. It’s recommended to evaluate the specific requirements of your use case and compare the features of each service before making a decision.

AWS offers Amazon Elastic File System (EFS) which is a fully-managed service that makes it easy to set up, scale, and run file storage in the AWS Cloud. It supports NFS protocols and can be accessed concurrently by multiple Amazon Elastic Compute Cloud (EC2) instances.

Azure offers Azure Files which is a fully managed, cloud-based file share that allows users to access files using the standard SMB protocol. It supports both NFS and SMB protocols, can be accessed concurrently by multiple virtual machines and supports data tiering with Azure File Sync.

GCP offers Filestore, a fully-managed file storage service that allows users to create and manage NFS and SMB-based file shares that can be accessed concurrently by multiple VMs. It supports automatic data tiering, automatic data replication, and automatic data backup.

Please note that this table is not an exhaustive list of all the features and capabilities of each file storage services, and the specific features and capabilities of each service may vary. It’s recommended to evaluate the specific requirements of your use case and compare the features of each service before making a decision.

AWS offers services such as Amazon SageMaker for machine learning, Amazon Transcribe for speech

Please note that this table is not an exhaustive list of all the specialized services that are offered by each provider and the specific features and capabilities of each service may vary. It’s recommended to evaluate the specific requirements of your use case and compare the features of each service before making a decision.

AWS, Azure, and GCP all provide client libraries, SDKs, and command-line interfaces (CLIs) to interact with their respective cloud services. These clients allow developers to write code in various programming languages to access and manage cloud resources.