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Difference Between AWS Azure and GCP

Last updated 13.june.2024

Difference Between AWS Azure and GCP

Overview of AWS

1. History and Background:

  • AWS was officially launched by Amazon in 2006, offering cloud computing services to businesses, governments, and individuals.
  • Initially started as a way for Amazon to utilize its own infrastructure more efficiently, AWS quickly evolved into a separate business segment due to its potential.
  • AWS’s early offerings included basic infrastructure services like EC2 (Elastic Compute Cloud) and S3 (Simple Storage Service), which laid the foundation for its growth.

2. Core Services:

  • AWS offers a vast array of services spanning compute, storage, networking, databases, machine learning, analytics, and more.
  • Key services include EC2 for virtual servers, S3 for object storage, RDS for managed databases, Lambda for serverless computing, and many others.
  • AWS continues to innovate and expand its service portfolio, addressing various needs of businesses ranging from startups to enterprises.

3.Market Dominance:

  • AWS has been the dominant player in the cloud computing market, holding the largest market share compared to its competitors.
  • Its extensive service offerings, global presence with multiple regions and availability zones, and reliability have contributed to its dominance.
  • AWS’s customer base includes a wide range of industries, from technology companies to financial institutions to healthcare providers, showcasing its versatility.

4.Strengths and Weaknesses:

  • Strengths:
    • Extensive service catalog catering to diverse requirements.
    • Global infrastructure with multiple regions and availability zones, ensuring high availability and low latency.
    • Strong security features and compliance certifications, meeting regulatory requirements of various industries.
  • Weaknesses:
    • Complex pricing structure with various pricing models and factors to consider, which can be challenging for users to navigate.
    • Steeper learning curve for beginners due to the breadth and depth of services offered.
    • Competition from other cloud providers, especially in specific niches where AWS may not have a clear advantage.

Azure in Depth

1.Introduction to Azure:

  • Microsoft Azure was officially launched in 2010, initially known as Windows Azure, as part of Microsoft’s strategy to expand into cloud computing.
  • Azure quickly gained traction, leveraging Microsoft’s existing enterprise customer base and strong presence in the IT industry.
  • Over the years, Azure evolved into a comprehensive cloud platform offering a wide range of services, competing directly with AWS in the cloud market.

2.Key Services:

  • Azure provides a broad set of services categorized into compute, storage, networking, databases, AI/ML, IoT, and more.
  • Core services include Azure Virtual Machines (VMs) for compute, Azure Blob Storage for object storage, Azure SQL Database for managed databases, Azure Functions for serverless computing, and others.
  • Azure’s services are deeply integrated with Microsoft products like Windows Server, Active Directory, and Visual Studio, making it an attractive option for organizations already invested in the Microsoft ecosystem.

3.Microsoft Integration:

  • One of Azure’s significant strengths is its seamless integration with Microsoft’s existing products and services.
  • Enterprises using Microsoft software and tools can easily extend their on-premises infrastructure to Azure, enabling hybrid cloud scenarios.
  • Azure Active Directory (AAD) provides identity and access management, facilitating single sign-on and centralized user management across cloud and on-premises environments.

4.Advantages and Disadvantages:

  • Advantages:
    • Hybrid cloud capabilities allowing seamless integration with on-premises infrastructure.
    • Strong compliance offerings, including industry-specific certifications, making it suitable for regulated industries.
    • Enterprise-grade support and service level agreements (SLAs), backed by Microsoft’s reputation for reliability and support.
  • Disadvantages:
    • Complex pricing structure similar to AWS, with various pricing tiers and options, which can be confusing for users.
    • Fewer regions compared to AWS, although Microsoft continues to expand its global footprint.
    • Some services may lag behind AWS equivalents in terms of features and maturity, although Microsoft is continuously improving and innovating its offerings.

Exploring Google Cloud Platform

1.GCP Overview:

  • Google Cloud Platform (GCP) was launched by Google in 2008, initially as a collection of cloud computing services for developers.
  • Over time, GCP expanded its offerings and evolved into a full-fledged cloud platform catering to businesses of all sizes.
  • Leveraging Google’s expertise in data infrastructure and innovation, GCP offers a robust and scalable cloud environment.

2.Core Services:

  • GCP provides a comprehensive set of services spanning compute, storage, databases, networking, machine learning, and more.
  • Key services include Compute Engine for VMs, Cloud Storage for object storage, BigQuery for analytics, Cloud Spanner for globally distributed databases, and TensorFlow for machine learning.
  • GCP’s services are built on Google’s global infrastructure, ensuring high performance, scalability, and reliability.

3.Innovation and Scalability:

  • One of GCP’s standout features is its reputation for innovation and scalability.
  • Google’s expertise in data infrastructure and machine learning enables GCP to offer cutting-edge services in areas like AI/ML, big data analytics, and data management.
  • GCP’s infrastructure is designed for scalability, allowing businesses to quickly scale resources up or down based on demand, without worrying about infrastructure provisioning.

Advantages and Disadvantages

  • Advantages:
    • Simplicity and ease of use, with user-friendly interfaces and streamlined processes for deploying and managing resources.
    • Competitive pricing, especially for sustained usage, with discounts for long-term commitments and predictable workloads.
    • Strong data analytics capabilities, with services like BigQuery enabling real-time analysis of massive datasets.
  • Disadvantages:
    • Smaller market share compared to AWS and Azure, although Google’s reputation and innovation are steadily attracting more customers.
    • Limited enterprise adoption compared to Microsoft Azure, particularly in industries with strong ties to Microsoft technologies.
    • Relatively fewer regions and availability zones compared to AWS and Azure, although Google is expanding its global footprint.

Decision Factors for Businesses

1.Scalability and Flexibility:

  • Businesses need to consider their scalability requirements and how well each cloud provider can accommodate growth.
  • AWS, Azure, and GCP all offer scalable infrastructure and services, but the ease of scaling and the breadth of offerings may vary.
  • Evaluate the scalability features of each provider, including auto-scaling capabilities, support for burstable instances, and flexibility in adjusting resources based on demand fluctuations.
  • Businesses need to consider their scalability requirements and how well each cloud provider can accommodate growth.
  • AWS, Azure, and GCP all offer scalable infrastructure and services, but the ease of scaling and the breadth of offerings may vary.
  • Evaluate the scalability features of each provider, including auto-scaling capabilities, support for burstable instances, and flexibility in adjusting resources based on demand fluctuations.

2.Cost Considerations:

  • Cost is a significant factor for businesses, and optimizing cloud spending is crucial for maximizing ROI.
  • Analyze the pricing structures of AWS, Azure, and GCP to understand how costs are calculated and identify opportunities for cost savings.
  • Consider factors such as pricing transparency, discounts for long-term commitments, and cost management tools provided by each provider.

3.Integration and Compatibility:

  • Integration with existing infrastructure and compatibility with tools and technologies are essential for seamless migration to the cloud.
  • Evaluate how well each cloud provider integrates with your current IT environment, including on-premises systems, third-party software, and development tools.
  • Consider factors such as support for common protocols and APIs, compatibility with industry standards, and ease of migration.

4.Future Roadmap:

  • The future roadmap of each cloud provider can influence long-term strategic decisions for businesses.
  • Research the upcoming features, innovations, and investments planned by AWS, Azure, and GCP to understand their direction and how it aligns with your business goals.
  • Consider factors such as emerging technologies (e.g., AI/ML, IoT), geographic expansion, and commitments to sustainability and environmental initiatives.

5.Security and Compliance:

  • Security and compliance are paramount considerations, especially for businesses handling sensitive data or operating in regulated industries.
  • Evaluate the security features and compliance certifications offered by AWS, Azure, and GCP to ensure they meet your organization’s requirements.
  • Consider factors such as data encryption, access controls, compliance with industry standards (e.g., GDPR, HIPAA), and the availability of audit logs and monitoring tools.

6.Support and SLAs:

  • Reliable customer support and service level agreements (SLAs) are essential for maintaining business continuity and resolving issues promptly.
  • Evaluate the support options, response times, and SLAs offered by AWS, Azure, and GCP to ensure they meet your organization’s needs.
  • Consider factors such as availability of 24/7 support, escalation procedures, and historical performance in meeting SLA commitments.

Difference Between AWS Azure and GCP






Computer Services

EC2, Lambda, ECS, EKS

Virtual Machines, Azure Functions, AKS

Compute Engine, Kubernetes Engine

Storage Services

S3, EBS, Glacier, EFS

Blob Storage, Azure Disk, Azure Files

Cloud Storage, Persistent Disk

Database Services

RDS, DynamoDB, Aurora

Azure SQL Database, Cosmos DB

Cloud SQL, Cloud Bigtable


VPC, Route 53, CloudFront

Virtual Network, Azure DNS, CDN

VPC, Cloud DNS, Cloud Load Balancing

Containers & Orchestration

ECS, EKS, Fargate

Azure Kubernetes Service (AKS)

Kubernetes Engine

Serverless Computing

AWS Lambda

Azure Functions

Cloud Functions

Identity & Access Management (IAM)


Azure Active Directory (AD)

Identity and Access Management (IAM)

Developer Tools

AWS CodeDeploy, CodePipeline, CodeBuild

Azure DevOps, Azure Pipelines

Cloud Build, Cloud Deployment Manager

Pricing Model

Pay-as-you-go, Reserved Instances, Spot Instances

Pay-as-you-go, Reserved Instances, Spot Instances

Pay-as-you-go, Sustained Usage Discounts

Global Reach

Extensive global presence with multiple regions

Extensive global presence with multiple regions

Global presence with multiple regions

Market Share

Largest market share

Second-largest market share

Third-largest market share

Integration with Other Services

Broad ecosystem and integrations

Integration with Microsoft services

Tight integration with Google services

App Testing

It uses a device farm

It uses DevTest labs 

It uses Cloud Test labs

API Management

Amazon API gateway

Azure API gateway

Cloud endpoints

Kubernetes Management


Kubernetes service

Kubernetes engine

Git Repositories

AWS source repositories

Azure source repositories

Cloud source repositories

Data warehouse


SQL warehouse

Big Query

Object Storage


Block Blobs and files

Google cloud storage

Relational DB


Relational DBs

Google Cloud SQL

Block Storage


Page Blobs

Persistent Disks




G suite

Media Services

Amazon Elastic transcoder

Azure media services

Cloud video intelligence API

Virtual network





Per hour

Per minute

Per minute

Maximum processors in VM




Maximum memory in VM (GiB)








Load Balancing Configuration

Elastic Load Balancing

Load Balancer Application Gateway

Cloud Load Balancing

Global Content Delivery Networks


Content Delivery Network

Cloud Interconnect


In conclusion, the comparison between AWS vs Azure vs GCP reveals the diverse landscape of cloud computing services offered by these major providers. Each platform, AWS vs Azure vs GCP, brings its own strengths and weaknesses to the table, catering to the needs of different businesses and industries.

AWS vs Azure vs GCP have established themselves as leaders in the cloud market, with AWS vs Azure vs GCP holding significant market shares and continuously innovating to stay ahead of the competition. Businesses evaluating their cloud options should carefully consider the specific features, pricing models, and integration capabilities offered by AWS vs Azure vs GCP to make an informed decision.

While AWS vs Azure vs GCP offer similar core services such as compute, storage, and databases, they differ in terms of their ownership structures, global network infrastructures, and specialized offerings like AI/ML, IoT, and blockchain services. Understanding these distinctions is essential for businesses to choose the right cloud provider that aligns with their requirements and goals.

In the end, whether you opt for AWS vs Azure vs GCP, it’s crucial to remember that the choice ultimately depends on your organization’s unique needs, budget constraints, and long-term strategic objectives. By carefully evaluating the strengths and weaknesses of AWS vs Azure vs GCP and considering factors such as scalability, cost, integration, and future roadmap, businesses can leverage the power of cloud computing to drive innovation and growth in today’s digital economy.

AWS vs Azure vs GCP, with their comprehensive suites of cloud services, have transformed the way businesses operate, enabling them to scale and innovate with unprecedented agility and efficiency. As cloud technology continues to evolve, the competition between AWS vs Azure vs GCP will undoubtedly drive further advancements, benefiting businesses worldwide.


Related to GCP

Google Cloud stands out as one of the rapidly growing cloud companies globally, offering thousands of open positions and compelling reasons to embark on a career within its domain. This blog delves into Google Cloud salary estimates, optimal career paths, and the primary approach to jumpstart a rewarding career in Google Cloud.

IT professionals, such as system administrators, network engineers, and DevOps engineers, can improve their skills and expertise through GCP training. Learning GCP allows them to keep current on cloud computing trends, increase their ability to design and operate cloud-based infrastructures, and progress their careers in cloud technology.

In essence, the Google Associate Cloud Engineer (GCP) exam is challenging, yet achievable with adequate study and commitment. The exam assesses your comprehension of various GCP services, cloud computing principles, and infrastructure deployment.

Google Cloud (GCP) is the ideal platform for developing cloud-based applications that require swift data processing with minimal latency. It utilizes a cross-platform programming language that is both quick to learn and adaptable in its grammar.

The demand for cloud computing platforms like GCP, AWS, and Azure has been steadily rising, with more individuals seeking certifications. As of 2023, GCP, AWS, and Azure Certifications are highly sought after and considered industry standards, validating expertise in cloud computing.

The estimated cost of obtaining the advanced GCP Cloud Engineer – Associate certification in Hyderabad ranges between 18000 and 20000 rupees.

GCP, suitable for beginners, is a robust cloud platform encompassing essential features: ample capacity for scalable operations, efficient resource management for peak performance, and multiple layers of security safeguarding hardware, software, and operating system components.

Each module typically requires 30 to 45 minutes, resulting in a GCP course taking approximately three to six hours to complete.

Reviewing the Standard Operating Procedures (SOPs) of both the hiring company and the trust is essential. The SOPs specify the frequency for completing the GCP Refresher course for certificate renewal, typically advised every two to three years to stay abreast of best practices.

GCP is founded on three crucial ethical principles: beneficence, justice, and recognition of persons.

  • Outstanding Uptime and Availability.
  • Real-time Virtual Machine Migration.
  • Free Monitoring of Uptime.
  • Top Global Infrastructure.
  • Unmatched Throughput.
  • Optimizing Performance Using Network Service Tiers.
  • Persistent Commitment to Network Extension.
  • Setup simplicity.

GCP skills encompass proficiency in programming languages such as Python, Java, or Go for application building on the Google Cloud Platform. Knowledge of infrastructure-as-code (IaC) tools like Terraform or Google Cloud Deployment Manager enables the definition and management of infrastructure resources through code.

In the realm of DevOps, Google Cloud Platform (GCP) plays a pivotal role in transforming culture towards efficient, reliable, and secure application development, management, and monitoring.

The Cloud Engineer certification is an “Associate” level certification, making it the ideal starting point for beginners. It covers fundamental skills in deploying, monitoring, and maintaining projects on Google Cloud, serving as a stepping stone for pursuing Professional certifications.

  • Begin with the Course Overview.
  • Explore the Google Cloud Platform Overview.
  • Understand the GCP Free Tier.
  • Learn to Access GCP Using GCP Web Console, CLI, and REST.
  • Recognize the Importance of Networking in Cloud and GCP’s Uniqueness in Networking.
  • Dive into Networking Concepts 101 – Virtual Private Cloud, Firewall, and Routes.
  • Progress to Networking Concepts 102 – Shared VPC and VPC Peering.

AWS boasts a broader service portfolio compared to GCP, offering more options for computing, storage, networking, and databases. GCP excels in big data and machine learning areas. In terms of pricing, GCP is generally more cost-effective for smaller workloads.

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