Technology

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 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.

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