AWS vs Azure vs Google Cloud: A Detailed Comparison

Cloud computing has transformed the way businesses manage digital operations. Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) are the world’s top three cloud service providers.

Most businesses have shifted computing from on-site servers to the cloud, and even multi-cloud setups, to benefit from characteristics such as:

• Decreased CapEx
• Reduced infrastructure maintenance
• Increased availability and reliability
• Scalability of an on-demand resource
• Lower operational costs
• Remote access and facilitated collaboration
• Support for multiple devices
• Optimized infrastructure for speed and performance
• Enhanced security
• Access to the most up-to-date technology

The three major cloud computing providers all contribute experience and knowledge to their dependable and feature-rich platforms. Which one is better? AWS, Microsoft Azure, or Google Cloud?

Here are more details about each one, as well as a comparison of Azure, AWS, and GCP to assist you conduct your research before making a decision for your firm.

Amazon Web Services (AWS) is the current largest commercial cloud computing company, providing scalable storage, networking, server, mobile development, and cybersecurity solutions.

Microsoft Azure, its main competitor, offers some of the most scalable and efficient software solutions for businesses, as many currently utilize Microsoft products such as 365 or PowerBI. Azure has the largest data center network, second only to Amazon Web Services.

Google Cloud Platform (GCP) provides advanced big data analytics solutions, machine learning and artificial intelligence capabilities, and seamless integration with other cloud-native applications such as containers and Kubernetes.

Let’s take a closer look at the parallels and differences.

What is AWS?

Amazon Web Services (AWS) is the biggest cloud computing platform of all three. It offers computer resources and services that can construct applications in minutes at pay-as-you-go prices. For example, you can rent a server on AWS to connect to, configure, protect, and run just like a physical server. The distinction is that the virtual server runs on top of an AWS-managed planet-scale network.

Background: AWS became public in 2006, with services like Elastic Compute Cloud (EC2) and Simple Storage Service (Amazon S3). It has an extensive user base and higher levels of trust and reliability as one of the first cloud providers.

Region: AWS is divided into 22 geographic regions and 14 data centers. There are over 114 edge locations and 12 Regional Edge Caches.

Notable users of Amazon Web Services (AWS)

• Coursera
• Expedia
• Netflix
• Coinbase
• Formula 1
• Intuit
• Airbnb
• Lyft
• Food and Drug Administration (FDA)
• Coca Cola

Some of its key services are:

• Compute – Amazon EC2, AWS Lambda, AWS Fargate
• Storage – Amazon S3, Amazon EBS, AWS Backup
• Databases and data management – Amazon RDS, DynamoDB, Amazon Redshift, AWS Glue
• Networking and content delivery – Amazon VPC, AWS Direct Connect, Amazon CloudFront
• Monitoring and security – AWS CloudTrail, AWS IAM, AWS WAF, AWS Shield
• Artificial intelligence and machine learning – Amazon SageMaker, AWS Lex, AWS Rekognition
• Migration and hybrid cloud – AWS Snowball, AWS Migration Hub, AWS Outposts
• Development and DevOps – AWS CodePipeline, AWS CodeDeploy, AWS CloudFormation
• Application services – AWS Step Functions, AWS App Runner, AWS Elastic Beanstalk
• Mobile and edge computing – AWS AppSync, AWS Wavelength, AWS IoT Core

AWS offers hundreds of services, but these categories highlight some of its most widely used solutions.

Microsoft Azure

Microsoft Azure is the second-largest cloud platform, but is growing faster than AWS with an annual growth rate of 46%, again as measured in The Register. Microsoft has reported cloud revenue growth of 30% for the quarter ending December 31, 2023. Azure has expanded since its 2010 launch to offer over 200 products and services.

Azure, an offering of Microsoft, is particularly tailored to support Microsoft-centric enterprises. Moving to the cloud or a hybrid-cloud environment is easier for these organizations. More than 95% of Fortune 500 companies use Microsoft Azure today.

Azure is not limited to Windows-based services. It also supports open-source languages, technologies, and platforms, giving anyone the freedom to build and support any application.

Well known Azure customers include:

• DAIMLER AG
• McKesson Group
• Asos
• Center of Disease Control (CDC) – US
• National Health Service (NHS) – UK
• HSBC
• Starbucks
• Walgreens
• 3M
• HP
• Mitsubishi Electric
• Renault

Some of its key services are:

• Compute – Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions
• Networking – Azure Virtual Network, Azure Load Balancer, Azure ExpressRoute
• Storage and databases – Azure Blob Storage, Azure Files, Azure Cosmos DB, Azure SQL Database
• Artificial intelligence and machine learning – Azure Machine Learning, Azure Cognitive Services, Azure Bot Services
• IoT and edge computing – Azure IoT Hub, Azure Sphere, Azure Edge Zones
• Security and identity management – Azure Active Directory (AD), Microsoft Defender for Cloud, Azure Key Vault
• Monitoring and management – Azure Monitor, Azure Security Center, Azure Automation
• Developer tools and DevOps – Azure DevOps, Azure Logic Apps, Azure API Management
• Hybrid and multi-cloud – Azure Arc, Azure Stack, Azure Site Recovery

What is Google Cloud?

Google Cloud Platform (GCP)—often just called Google Cloud—was originally App Engine. It’s a cloud computing services suite established by Google in 2008. GCP offers infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) for businesses all around the world. GCP is primarily a service for developing and maintaining original applications that can then be published from its hyper-scale data centers. 

Background: GCP launched in 2008 and, in less than a decade, has established a strong foothold in the cloud business. Google Cloud strengthened Google’s products, including its hugely popular search engine and its video-sharing platform, YouTube.

Region: Google Cloud Platform comprises 34 cloud regions, 103 zones, and 200 plus edge locations.

Notable users of Google Cloud Platform (GCP)

• Toyota
• Equifax
• Nintendo
• Spotify
• The Home Depot
• Target
• Twitter
• Paypal
• UPS

Some of its key services are:

• Compute – Google Compute Engine (GCE), Google App Engine (GAE), Google Cloud Run
• Containers and Kubernetes – Google Kubernetes Engine (GKE), Anthos, Cloud Run
• Storage and databases – Google Cloud Storage, Cloud SQL, Bigtable, Firestore
• Networking and content delivery – Google Virtual Private Cloud (VPC), Cloud CDN, Cloud Interconnect
• Big data and analytics – BigQuery, Dataflow, Dataproc, Pub/Sub
• Artificial intelligence and machine learning – Vertex AI, AutoML, TensorFlow Enterprise
• Monitoring and security – Google Cloud Operations Suite, Security Command Center, Identity-Aware Proxy
• IoT and edge computing – Cloud IoT Core, Edge TPU, Cloud Functions
• Developer tools and DevOps – Cloud Build, Artifact Registry, Firebase, Cloud APIs
• Hybrid and multi-cloud – Google Anthos, Migrate for Compute Engine, Bare Metal Solution

AWS vs. Azure vs. Google Cloud: Key Differences

From compute services to pricing, here is what sets each platform apart:

Compute services

Compute is a term that describes how computers work. Connecting many nodes is simple for a good cloud provider. Here is a look at each platform’s computational capabilities.

Hybrid and multi-cloud options

For most businesses, the optimal cloud option is a combination of public and private clouds. A hybrid cloud allows you to combine one or more public clouds with existing infrastructure and a private cloud. It’s essentially a mix of environments where you can run applications, making it a popular option among organizations that have already invested a lot of money into IT infrastructure.

Read Also: Top 10 AWS Services You Should Know About

An organization benefits by employing a mix of computing, storage, and services environments (on-premises infrastructure, private cloud services, and a public cloud). There is explicit coordination among the various platforms with the hybrid cloud.

AWS hybrid and multi-cloud

• Amazon ECS Anywhere
• AWS Snowball
• AWS Snowcone
• AWS Outposts
• AWS Local Zones
• VMware Cloud on AWS
• AWS Wavelength
• Amazon EKS Anywhere
• AWS Snowcone

Azure hybrid And multi-cloud

• Azure Arc
• Azure Backup
• Azure Active Directory
• Azure Security Center
• Azure Blob Storage
• Azure Stack
• Azure Centinel

Google cloud hybrid and multi-cloud

• Anthos
• Traffic Director
• Looker
• Cloud Build
• Operations
• Cloud Run for Anthos

Pricing and Cost Structure

Now that we have explored the main features of all three cloud platforms, let’s examine their pricing models and cost structures. 

AWS pricing

AWS follows a pay-as-you-go pricing model, which means you only pay for the services you use. It also offers additional cost-saving options:

• Reserved Instances (RIs) – Discounted pricing for instances purchased in advance for 1 or 3 years, assigned to a specific Availability Zone.
• Spot Instances – Offers significant discounts (up to 90% off on-demand prices) for unused capacity, but instances can be interrupted.
• Savings Plans – Flexible pricing model that provides cost savings similar to RIs but allows for more compute flexibility.
• AWS Free Tier – Offers 12 months of free access to 20+ services and an always-free tier for certain low-usage services.

Pricing calculator: You can use AWS’s pricing calculator to calculate pricing per instance type and service.

Microsoft Azure pricing

Microsoft Azure also offers a pay-as-you-go model and offers various cost-saving options:

• Azure Reserved Virtual Machine Instances (Azure RIs) – Prepaid VMs for 1 or 3 years, with a monthly payment option at no extra cost.
• Spot Virtual Machines (Spot VMs) – Discounts are available for spare compute capacity, but instances can be reclaimed when demand increases.
• Azure Hybrid Benefit – Cost savings for Windows Server and SQL Server customers who bring their on-prem licenses to Azure.
• Azure Free Tier – Provides 12 months of free access to over 20 popular services and an always-free tier with 65+ services.

Pricing calculator: Azure provides a unified calculator, allowing you to estimate costs for multiple services in one place.

Google Cloud pricing

Google Cloud also uses a pay-as-you-go model and provides unique cost-saving mechanisms:

• Sustained Use Discounts – Automatic discounts of up to 30% for consistent use of virtual machines.
• Preemptible VMs – Short-lived, discounted VMs (similar to AWS Spot Instances and Azure Spot VMs) terminated when capacity is needed.
• Committed Use Contracts – Discounts of up to 57% for committing to 1 or 3 years of use.
• Google Cloud Free Tier – Includes $300 in free credits for new customers and an always-free tier for various services.

Pricing calculator: Google Cloud provides a detailed pricing calculator with built-in cost optimization tools.

Comparative pricing table

Here is a comparison of the pricing and cost structure of all three providers:

Security and Compliance

Security and compliance are the steps a provider takes to protect user data and systems from unauthorized access and compliance with industry standards.

AWS security

AWS provides a comprehensive security framework with built-in tools for access management, threat detection, and compliance. It offers two primary security services:

• AWS Identity and Access Management (IAM) enables fine-grained access control by allowing administrators to define who can access what resources based on roles and policies.
• AWS Shield protects against Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks to ensure maximum application availability and responsiveness.

In addition, AWS supports 143 security standards and compliance certifications, including:

• HIPAA (Health Insurance Portability and Accountability Act)– For handling healthcare data.
• GDPR (General Data Protection Regulation) – Ensuring data protection and privacy in the EU.
• SOC 1, SOC 2, and SOC 3 reports – Validating internal security controls.

These compliance certifications provide third-party validation for thousands of global security requirements, reducing your operational burden.

Microsoft Azure security

Azure offers robust security tools for identity management, threat protection, and compliance.

• Microsoft Entra ID safeguards organizations with cloud identity and access management solutions. It provides:
  • A central location to manage all identities.
  • Risk-based conditional access policies.
  • Strong authentication to protect data and resources.
• Microsoft Defender for Cloud – A cloud security posture management (CSPM) tool that:
  • Provides real-time security insights into hybrid and multi-cloud environments.
  • Detects threats and vulnerabilities to reduce exposure to attacks.

Azure also has over 100 compliance certifications, including region-specific certifications, and 35 industry-specific compliance certifications, including health and finance.

Google Cloud security

Google Cloud offers a trusted cloud infrastructure that builds security through several layers. Their team is available 24/7 to respond to infrastructure threats, providing continuous monitoring and rapid response. This secure infrastructure covers:

• Secure deployment of services.
• Safe storage of data.
• Encrypted communication between services and over the Internet.

To strengthen security further, Google Cloud provides Identity and Access Management (IAM) and encryption options, including:

• Encryption at rest: Google encrypts all customer content automatically without requiring the user to take any action. The Cloud Key Management Service also enables users to create and manage their own encryption keys for additional security.
• Encryption in transit: Google encrypts data in transit when it moves outside physical boundaries that Google does not control.

Google Cloud also complies with major security certifications, including ISO 27001, HIPAA, and PCI DSS, ensuring data protection and regulatory compliance.

Security and compliance comparison table

Global Reach and Availability

Global reach refers to the network of resources and data centers that are accessible around the globe, and availability means that the system remains operational even during disruptions or peak traffic. So, let’s examine the global reach and availability of all three providers.

AWS global infrastructure

AWS has an extensive global infrastructure. It has 36 launched regions, 114 Availability Zones, and over 700 CloudFront Points of Presence (PoP) with 13 regional edge caches. It is also planning to build more Availability zones in 4 more regions.

Microsoft Azure global infrastructure

Microsoft Azure has over 60 Azure regions and over 300 data centers in Azure’s global infrastructure. It allows users to store data in their nearest region to reduce latency.

Google Cloud global infrastructure

Google Cloud infrastructure services are available in over 200 countries and territories across 41 regions, 124 zones, and 187 network edge locations. Its global network connects its infrastructure to more than 3.2 million kilometers of terrestrial and subsea fiber. You can use its Google Cloud Region Picker tool to pick a region that considers carbon footprint, price, and latency.

Storage and Databases

Storage and database services serve different purposes in cloud computing: 

• Storage services are designed for storing and managing raw data, files, and objects but do not provide built-in querying or transaction capabilities.
• Database services, on the other hand, are structured for data organization and allow querying, indexing, and transactional support. These include relational databases, NoSQL databases, and cloud data warehouses for large-scale analytics.

Let’s explore the storage and database offerings of each cloud platform.

Amazon Web Services (AWS)

AWS offers three main storage and database options:

• Amazon S3 (Simple Storage Service) is an object-storage service that stores objects in buckets (containers to store the objects). We can use it to build data lakes, keep backups, and restore important data.
• Amazon EBS (Elastic Block Store) is a block-storage service for Amazon EC2 that can run on SSD and HDD-based volume types. It can be used to build I/O-intensive applications and resize clusters for big data analytics engines.
• Amazon RDS (Relational Database Service) is a managed relational database service that supports PostgreSQL, MySQL, MariaDB, SQL Server, and Oracle.
• Amazon DynamoDB is a serverless NoSQL database designed for low-latency, high-scale applications like gaming, IoT, and real-time analytics.
• Amazon Redshift is a cloud data warehouse optimized for large-scale analytics and business intelligence (BI) workloads.

Microsoft Azure

Microsoft Azure also provides three primary services:

• Azure Blob Storage can store and access unstructured data like images and videos. It helps create data lakes and scales flexibly for high-performance computing and ML workloads. We can use it for mobile, web, and cloud-native applications as it supports popular development frameworks like .NET, Python, Java, and Node.js. 
• Azure Disk Storage is a high-performance block storage service designed for Azure Virtual Machines (VMs). It can be used for input/output-intensive applications such as SAP HANA and Enterprise production workloads like SQL Server and NoSQL.  
• Azure SQL Database allows storing structured data that requires relational operations. It features a data API builder that turns the database objects into GraphQL APIs and Dev Container templates that start coding with preconfigured environments.
• Azure Cosmos DB is a globally distributed NoSQL database optimized for real-time applications and AI-driven workloads.
• Azure Synapse Analytics is a cloud data warehouse designed for big data analytics and business intelligence (BI). It offers seamless integration with Power BI and machine learning models.

Google Cloud

Google Cloud also provides three main options:

• Google Cloud storage is a fully managed object storage service that automatically optimizes costs using features like Object Lifecycle Management and Autoclass.
• Google Persistent Disk is a block storage solution. Like Azure Disk storage, it provides block storage for virtual machine instances. It also automatically encrypts data during transfer. We can use SSD and HDD and scale up or down per the application demands. 
• Google BigQuery is a serverless cloud data warehouse designed for high-performance analytics and real-time querying. It is often used for AI, ML, and business intelligence.
• Cloud Spanner is a fully managed relational database that combines SQL consistency with NoSQL scalability, which is ideal for global applications with high availability requirements.
• Firestore is a serverless NoSQL document database optimized for mobile, web, and real-time applications.

Choosing the best cloud provider is determined by your application’s size, budget limits, and resource requirements. Here’s a little comparison to help you decide:

Whatever cloud platform you choose, understanding its capabilities, price structure, and use cases will allow you to make an informed decision that meets your business and technical requirements!