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
Features
|
AWS |
Azure |
GCP |
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
|
Platform-as-a-Service
Function-as-a-Service
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)
Knative
Kubernetes
Functions |
Storage Services | Simple Storage Service (S3)
Elastic Block Storage (EBS)
Elastic File System (EFS)
Storage Gateway
Snowball
Snowball Edge
Snowmobile |
Blob Storage
Queue Storage
File Storage
Disk Storage
Data Lake Store |
Cloud Storage
Persistent Disk
Transfer Appliance
Transfer Service |
AI/ML
|
SageMaker
Comprehend
Lex
Polly
Rekognition
Machine Learning
Translate
Transcribe
Deeplens
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 |
Aurora
RDS
DynamoDB
ElastiCache
Redshit
Neptune
Database Migration Service
|
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 |
Glacier |
Archive Storage
Backup
Site Recovery
|
Nearline (frequently accessed data)
Coldline (infrequently accessed data)
|
Serverless Computing
|
Lambada
Serverless Application Repository (need to hire serverless developers)
|
Functions |
Google Cloud Functions |
Strengths
|
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 |
Networking
|
Amazon Virtual Private Cloud (VPC)
|
Azure Virtual Network |
Cloud Virtual Network |
Security
|
AWS Security Hub |
Azure Security Center |
Cloud Security Command Center
|
Location
|
77 available zones |
60+ regions |
22 regions and 61 zones |
Documentation
|
The Best |
High Quality |
High Quality |
Coaching
|
Elastic Cache |
Redis Cache |
Cloud CDN |
File Storage | EFS | Azure Files | ZFS and Avere
|
DNS Services | Amazon Route 53 | Azure Traffic Manager
|
Cloud DNS |
Notifications
|
Amazon Simple Notification Service (SNS) |
Azure Notification Hub |
None |
Load Balancing
|
Elastic Load Balancing
|
Load Balancing for Azure |
Cloud Load Balancing |
Automation
|
AWS Opsworks |
Azure Automation |
Compute Engine Management
|
Compliance
|
AWS CloudHSM |
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.