azure vs aws vs gcp

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What is azure ?

Azure is a cloud computing platform and service created by Microsoft. It provides a wide range of services including virtual machines, storage, databases, and analytics. These services can be used to build, deploy, and manage applications and services through Microsoft’s global network of datacenters.

Azure allows users to choose between using the platform’s infrastructure or using their own. This allows for maximum flexibility and scalability, making it easy for businesses to start small and grow as needed.

Azure offers a variety of services for different needs, such as:

  • Azure Virtual Machines: Allows users to create and manage virtual machines that can run Windows or Linux.
  • Azure Storage: Provides scalable and secure storage options such as blobs, files, queues, and tables.
  • Azure SQL Database: A fully managed relational database service that can be used to store structured data.
  • Azure Cosmos DB: A fully managed, globally distributed NoSQL database service.
  • Azure Machine Learning: A cloud-based service that allows data scientists and developers to build, deploy, and share predictive analytics models.
  • Azure Active Directory: A cloud-based identity and access management service that allows organizations to manage user access to applications and resources.

In addition to these services, Azure also provides a wide range of tools and services for developers, such as Azure DevOps, Azure Logic Apps, and Azure Functions, which can be used to build and deploy applications more efficiently.

What is AWS ?

Amazon Web Services (AWS) is a collection of remote computing services (also called web services) that make up a cloud computing platform, offered by Amazon.com. They provide a variety of services including storage, networking, database, and application services that can be used to build, deploy, and run various types of applications and services.

AWS offers a wide range of services that can be used for different needs, such as:

  • Amazon Elastic Compute Cloud (EC2): Allows users to create and manage virtual machines that can run Windows, Linux, and other operating systems.
  • Amazon Simple Storage Service (S3): Provides scalable and secure storage options for data and files.
  • Amazon Relational Database Service (RDS): A fully managed relational database service that supports multiple database engines such as MySQL, PostgreSQL, and Oracle.
  • Amazon DynamoDB: A fully managed NoSQL database service that supports key-value and document data structures.
  • Amazon Elastic MapReduce (EMR): A web service that makes it easy to process big data using the Hadoop framework.
  • Amazon CloudFront: A content delivery network (CDN) that can be used to distribute content to users with low latency and high transfer speeds.

AWS also provides a variety of tools and services for developers, such as AWS Lambda, AWS Step Functions, and AWS EventBridge, which can be used to build and deploy applications more efficiently.

AWS is considered as one of the most widely used and feature-rich cloud computing platforms and it allows users to pay for the services that they use, on an as-needed basis. This gives customers the flexibility to start small and scale as their needs change.

What is GCP ?

Google Cloud Platform (GCP) is a collection of cloud computing services that make up a cloud computing platform offered by Google. These services operate from various locations worldwide and provide a variety of services including compute, storage, databases, and machine learning services that can be used to build, deploy, and run various types of applications and services.

GCP offers a wide range of services that can be used for different needs, such as:

  • Google Compute Engine: Allows users to create and manage virtual machines that can run Windows, Linux and other operating systems.
  • Google Cloud Storage: Provides scalable and secure storage options for data and files.
  • Google Cloud SQL: A fully managed relational database service that supports multiple database engines such as MySQL and PostgreSQL.
  • Google Cloud Bigtable: A fully managed NoSQL database service that can handle large amounts of data at high speeds.
  • Google Cloud Machine Learning Engine: A cloud-based service that allows data scientists and developers to build, deploy, and share machine learning models.
  • Google Cloud Spanner: A fully-managed, globally-distributed, and horizontally-scalable relational database service.

GCP also provides a variety of tools and services for developers, such as Cloud Functions, Cloud Tasks, and Cloud Events, which can be used to build and deploy applications more efficiently.

GCP provides a pay-as-you-go pricing model, which allows customers to pay for the resources that they use, giving them the flexibility to start small and scale as their needs change. It also offers a variety of tools for monitoring, logging, and troubleshooting, making it easy to manage and optimize the use of resources.

azure vs aws vs gcp

Here is a comparison table that highlights some key differences between Azure, AWS, and GCP:

FeatureAzureAWSGCP
Popular ServicesVirtual Machines, SQL, Cosmos DBEC2, S3, RDS, DynamoDBCompute Engine, Cloud Storage, Bigtable
Pricing ModelPay-as-you-go, Reserved, and Hybrid optionsPay-as-you-go, Reserved, and Spot optionsPay-as-you-go, Preemptible, and Custom options
SecurityAzure Security Center, Azure Active DirectoryAWS Identity and Access Management (IAM), AWS Certificate ManagerGoogle Cloud Identity, Cloud Key Management Service
ComplianceSOC 1, SOC 2, SOC 3, ISO 27001, HIPAASOC 1, SOC 2, SOC 3, ISO 27001, HIPAASOC 1, SOC 2, SOC 3, ISO 27001, SOC for Cybersecurity, PCI DSS
Ease of useAzure Portal, Azure Cloud ShellAWS Management Console, AWS CLIGoogle Cloud Console, Cloud SDK
IntegrationAzure Logic Apps, Azure Event Grid, Azure FunctionsAWS Lambda, AWS Step Functions, AWS EventBridgeCloud Functions, Cloud Tasks, Cloud Events
SupportBasic, Developer, Professional Direct, and PremierBasic, Developer, Business, and EnterpriseBasic, Premium, and Elite
PerformanceAzure Virtual Machine Scale Sets, Azure Load BalancerAuto Scaling, Elastic Load BalancingKubernetes Engine, Cloud Load Balancing
azure vs aws vs gcp

It’s important to note that this table is not exhaustive and each cloud provider offers a wide range of services and features. It’s recommended to visit the official website of each provider and check their services, pricing, and features in order to make an informed decision.