AWS VS Azure VS GCP – The Cloud Platform of Your Choice

AWS VS Azure VS GCP – The Cloud Platform of Your Choice

In today’s digitalized era, Amazon, Microsoft, and Google rule over the public cloud landscape with the safest, most reliable and flexible cloud services. AWS, Azure, and GCP are the respective cloud platforms of the three companies. The platforms provide the clients with a wide range of computing, storage, and network options. The typical features of the three platforms are instant provisioning, auto-scaling, identity management, self-service, compliance, security, etc. Experienced and skilled developers are available to offer the best services and guidance concerning individual cloud platforms. For example, companies Hire aws developers to work on AWS (Amazon Web Services) cloud platform.

With growing time, AWS Developer Associate Certification in  Singapore has achieved the top position in the cloud services, compared to GCP and Azure, in terms of integrity and performance. Azure and GCP are also in high competition to prove their dominance over marketing. The blog will focus on the differences among the three and which one would be your best choice.

Feature-based Comparison

























Compute Services


Amazon EC2


AWS Beanstalk


Amazon C2 Auto-Scaling


Amazon Light sail


Amazon Elastic Kubernetes


Amazon Elastic Container Registry


AWS Serverless Application Respiratory


VMware Cloud for AWS


AWS Batch


AWS Fargate


AWS Lambda


AWS Outposts


Elastic Load Balancing







Service Fabric


Azure Batch


Cloud Services


Container Instances Batch


Azure Container Services (AKS)


Virtual Machines Compute Engine


Virtual Machine Scale Sets


App Engine


Docker Container Registry


Instant Groups


Compute Engine


Graphics Processing Unit (GPU)







Storage Services Simple Storage Service (S3)


Elastic Block Storage (EBS)


Elastic File System (EFS)


Storage Gateway




Snowball Edge



Blob Storage


Queue Storage


File Storage


Disk Storage


Data Lake Store

Cloud Storage


Persistent Disk


Transfer Appliance


Transfer Service















Machine Learning








Deep Learning AMIs


Apache MXNet on AWS


TensorFlow on AWS



Machine Learning


Azure Bot Service


Cognitive Services


Cloud Machine Learning Engine


Dialogflow Enterprise Edition


Cloud Natural Language


Cloud Speech API


Cloud Translation API


Cloud Video Intelligence


Cloud Job Discovery (Private Beta)













Database Services














Database Migration




SQL Database


Database for MySQL


Database for PostgreSQL


Data Warehouse


Server Stretch Database


Cosmos DB



Table Storage


Redis Cache


Data Factory


Cloud SQL


Cloud Bigtable


Cloud Spanner


Cloud Datastore






Backup Services






Archive Storage




Site Recovery



Nearline (frequently accessed data)


Coldline (infrequently accessed data)



Serverless Computing





Serverless Application Repository (need to hire serverless developers)





Google Cloud Functions















Extensive and Mature Offerings


Dominant Market Position


Support for Large Organization


Global Outreach


Flexibility and a wider range of services


Second largest provider


Integration with Microsoft tools and software


Broad Feature Set


Hybrid Cloud


Support for open source


Ideal for startups and developers



Designed for cloud-native business


Commitment to open source and probability


Flexible contracts


DevOps Expertise


Most cost-efficient







Amazon Virtual Private Cloud (VPC)




Azure Virtual Network



Cloud Virtual Network





AWS Security Hub


Azure Security Center


Cloud Security Command Center






77 available zones


60+ regions


22 regions and 61 zones





The Best


High Quality


High Quality





Elastic Cache


Redis Cache


Cloud CDN

File Storage  EFS Azure Files ZFS and Avere


DNS Services Amazon Route 53 Azure Traffic Manager


Cloud DNS




Amazon Simple Notification Service (SNS)


Azure Notification Hub




Load Balancing



Elastic Load Balancing



Load Balancing for Azure


Cloud Load Balancing





AWS Opsworks


Azure Automation


Compute Engine Management








Azure Trust Center


Google Cloud Platform Security


The differences in pricing influence the IT companies to choose the best-suited cloud service provider. AWS and Azure offer cloud services with pay-per-minutes billing options; on the other hand, GCP provides a pay-per-second billing option. GCP provides various discount offers and flexible contracts based on the demand.

Amazon Web Services (AWS)

Amazon launched its cloud computing services a decade back and rules over the market with its product demand and customer outreach. AWS offers a wide range of Infrastructure as a Service like a database, computing, networking, content delivery, and storage. It makes the data collection flow smooth and flexible using serverless services like Amazon SQS Queues, Amazon Kinesis Streams, etc. Hire amazon aws web development services to manage these activities.

AWS allows the organizations to select the web application platform, operating system, database, a programming language based on the requirement. AWS enhances the productivity and commercial growth of organizations.

The drawbacks of AWS include default service limits and complicated infrastructure. It is best to hire AWS developers who are highly skilled to dodge the pitfalls.

Microsoft Azure

Microsoft Azure platform helps build, deploy, and manage multiple services and supplication via the vast network of Microsoft-managed datacenters. Azure offers computing, networking, and data management services.

Azure Site Recovery allows various organizations to adapt site-to-site replication and data recovery to VMs. Azure provides Zone Redundant Storage (ZRS) across multiple data centres and regions. Azure ExpressRoute facilities connect Azure to a data centre through a private link without the internet. Azure provides higher security, lower latency, and greater reliability.

Azure has extensive networking capabilities that include support for various site-to-site connections to the virtual network. The networking capability also connects virtual networks across multiple regions. Companies hire code deploy developers to write, test and deploy designs using the Azure Machine Learning Studio.

Google Cloud Platform (GCP)

GCP has an intuitive interface, flexible compute options, and lower cost is an excellent alternative to AWS and Azure. Google applies full-scale data and communication channel’s encryption, including the traffic between data centres. GCP competes with AWS in the instance and payment configurability, privacy and traffic security, Machine Learning, and cost-efficiency.

All three cloud providers offer discounts up to 75% for a contract of 1 to 3 years. Here, Google adds the offer if sustained use discount of up to 30% on each instance.

Google offer different off-the-shelf APIs on computer vision, translation and natural language processing. The ML engineers can create designs based on Google’s Cloud Machine Learning Engine’s open-source deep-learning library.

The Three-ways Battle

Differences among the three primary cloud services are visible in the evaluation processes using different parameters like storage, database, compute, location, and documentation.

AWS offers Elastic Compute Cloud (EC2) to manage the computer services and virtual machines. Here, an organization needs to hire Amazon ec2 developers. Users can configure the settings as required. Azure and GCP offer Virtual Machines and Machine Scale sets.

Amazon S3 is a great option to store extensive data with enough safety and community support. Similarly, Azure and GCP offer reliable storage services.

The Cloud Market Share:

AWS – 32%

Microsoft Azure – 19%

GCP – 7%

Final words

All three cloud computing services have advantages and disadvantages. All of these are unique in their ways to provide services. A detailed analysis indicates the predominance of AWS in the cloud battle. Azure helps organizations to use Microsoft tools. On the other hand, GCP offers the best price models to the customers. The organizations Hire Full-Time Developers or hire code deploy developers to execute the programs successfully.

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