Table of contents
- Cloud Cost Comparison Between Aws Azure and GCP
- Benefits of AWS (Amazon Web Services)
- Benefits of Microsoft Azure
- Benefits of Google Cloud Platform (GCP)
- Use Cases for AWS Azure GCP
- AWS Vs Azure Vs GCP Cloud Cost Comparison
- Compute Services: AWS EC2 vs. Azure VM vs. GCP Compute Engine
- Storage Services: AWS S3 vs. Azure Blob vs. GCP Cloud Storage
- Database Services: RDS vs. Cosmos DB vs. BigQuery
- Price Comparison – AWS CloudWatch vs. Azure Monitor vs. GCP Cloud Operations Suite
- Cost Analysis of AI/ML Services: AWS SageMaker vs. Azure ML vs. GCP Vertex AI
- Pricing for Kubernetes: EKS vs. AKS vs. GKE
- Cessation for AWS Vs GCP Vs Azure Pricing Models
In 2025, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) dominated the cloud computing market. A detailed AWS vs. Azure vs. GCP comparison reveals that AWS holds the largest market share at 32%, Azure at 23%, and GCP at 10%. These three providers continue to compete on scalability, services, and pricing, making the cloud cost comparison critical for organizations.
Regarding AWS vs GCP vs Azure pricing, key instance options like AWS’s t4g.large, Azure’s B4ms and GCP’s e2-standard-4 offer cost-efficient choices with discounts tailored to different workloads. The price comparison of AWS Azure Google varies based on services, configurations, and usage, making it essential to review these options for specific needs.
AWS vs Azure vs GCP cost discussions in 2024 highlight AWS’s broad service offerings, Azure’s deep integration with Microsoft tools, and GCP’s strength in open-source technologies and AI. Azure leads in enterprise adoption with 80%, closely followed by AWS at 77%. GCP, while smaller, focuses heavily on AI and machine learning, giving it a competitive edge in specific industries.
Growth rates for these providers vary in 2024: Azure leads with a 29% growth rate, outpacing AWS at 12% and GCP at 22%. Financially, AWS remains on top with USD 79.4 billion in revenue, Azure follows with USD 74.7 billion, and GCP brings in USD 28.4 billion, emphasizing its robust market presence. Multiple factors, such as discount plans and resource usage, influence the AWS Azure Google Cloud price comparison.
Ultimately, choosing between AWS vs Azure vs Google Cloud in terms of pricing and services depends on your organization’s specific workloads, requirements, and goals. Each platform provides diverse options in the cloud pricing comparison, making it essential to carefully assess AWS vs Azure vs GCP pricing for cost-effective cloud solutions in 2025.
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Cloud Cost Comparison Between Aws Azure and GCP
1) Amazon Web Services (AWS)
AWS came into the limelight in 2006 with services like Simple Storage Service (Amazon S3) and Elastic Compute Cloud (EC2). In 2009, it offered more services such as Elastic Block Store (EBS), Content Delivery Network (CDN), and Amazon CloudFront. Amazon offers more than 18,000 services ranging from productivity tools to machine learning.
Amazon Web Services is the standard cloud storage cost comparison service for object archiving and holds the most significant chunk of the current cloud provider security. It comprises decadent tools like IoT, security, databases, management, analytics, and enterprise applications. On the other hand, AWS cloud server pricing Service S3 offers reliability, scalability, information accessibility, and efficiency.
AWS market share dominates the global market with a revenue share of 32%, while Azure has a 23% market share, and GCP has an 11% market share.
Microsoft and Google compete with AWS by reducing their prices. AWS is one of the best cloud services providers because its server pricing provides a pay-as-you-go model for its services. Users pay what they consume for their service, and once they finish the services, there is no need to pay an additional amount or termination fees.
Inside AWS vs GCP vs Azure pricing, the pricing format is complicated enough to make you seek a third-party app to manage all these services. However, for the minimum instance (for 2 virtual CPUs and 8 GB RAM), Amazon will cost you nearly USD 69/month, while the maximum instance (for 128 virtual CPUs and 3.84 TB RAM) will increase you to nearly USD 3.97/hour.
Measurement specifications for Amazon S3
Storage volume: 200 GB per month
Data scan: 200 GB per month
Data return: 200 GB per month
PUT, COPY, POST, LIST requests: 10,000
GET, SELECT, and all other requests: 10,000
With the data above, we estimated the minimum total you would need to spend per month for your MVP (minimum viable product). The prices of Amazon S3 vary from one region to another. In perspective, the cost in some regions would be: UK – USD 5.47, US East – USD 5.20, US West – USD 5.87. Meanwhile, all other places would average at USD 5.5. The cloud storage prices are USD 4.65 per month for all outlined locations.
Useful Link: Accelerate Business Growth with AWS Cloud Migration
2) Microsoft Azure
Azure provides numerous cloud pricing comparison types that cater to multiple companies’ requirements. Data Lake Storage and Queue Storage are some of the best Azure options for big companies that need high data storage requirements. Bulk storage is ideal for companies opting for a large amount of unstructured data, while File storage is reliable and designed for most business requirements.
Azure vs AWS pricing depends on multiple factors, such as the management level, the capacity required, and the location. Additionally, it offers a free tier, which allows free forever for some specific models and the unrestricted use of certain models for the first 12 months only.
Like AWS, Azure pricing offers the pay-as-you-go pricing model. It also provides an alternate option to pre-purchase its service, which it calls a “Reserved Instance” (upfront commitment). This scenario requires a one or 3-year commitment for many of their products. With Reserved Instance, you can receive up to a 72 percent discount for Azure services. It also offers spot instances, allowing users to purchase VMs from Azure’s spare capacity at a low price.
The pay-as-you-go approach charges per second, and users can start or stop the service as required and pay for what they use. On the other hand, the Reserved Instance is built for continuous use and is based on the entire month’s cost (730 hours). The pay-as-you-go model also depends on a 730-hour analysis per the pricing calculator.
Therefore, when comparing both the models, 730 hours Reserved Instance vs 730 hours pay as you go, the Reserved Instance model looks best when you estimate with the price calculator that you need to use Azure cloud services pricing for a year or more.
Microsoft Azure allows a wide range of services, such as computing, networking, storage, and analytics. Therefore, its pricing model depends on various factors, including the capacity required, the location, the type of service, and the management level.
Azure Pricing Model
Service | Starting Cost | Workload | Cost Factor | Monthly Cost |
Block Blob storage (ZRS COOL) | USD 0.013 | Reserving 100 GB for 1 month | GB – Month | 0.013*100 = USD 1.3 |
Block Blob storage (ZRS HOT) | USD 0.023 | Reserving 100 GB for 1 month | GB – Month | 0.023*100 = USD 2.3 |
Functions | USD 0.20 | Serverless functions for 30 days with 5 million executions per day | Million executions | 30*5*0.2 = USD 30 |
Linux virtual machines (VMs) | USD 0.004 | 10 virtual machines are using for 30 days | Virtual machine hourly usage | 10*30*24*USD 0.004 = USD 28.8 |
Total | Price for 200 GB storage, serverless functions for 30 days with 5 million executions per day, and 10 virtual machines | Price USD 62.4 |
Useful Link: How of Cloud Migration: Azure and Its 4-Step Strategy
3) Google Cloud Platform (GCP)
Within a short period, Google Cloud emerged as a strong competitor to the other two big cloud services platforms. It stands out among them with its endless IT expertise and internal research. Google features many hosted computing, storage, and application development services, such as Platform as a Service (PaaS) and Infrastructure as a Service (IaaS).
GCP pricing provides multiple pricing models, including free tier options, long-term reservations, and pay-as-you-go pricing. Moreover, Google Cloud prices are affected by several factors, such as compute, SQL, network, storage, and serverless pricing. These components should be explored when selecting a cost structure for your enterprise.
Google Cloud price offers its customers USD 300 credit for free as customers can spend their amount on their Google Cloud products. Additionally, users can use multiple free products like computing, storage, database, IoT, and Artificial Intelligence, the most widely used, most extensive cloud pricing comparison providers market share.
Furthermore, the US tech giant provides substantial discounts for products committed to a certain usage level for one or three years in advance, also known as “committed use.”
Google Cloud price allows a unique option for its users, ‘Sustained Use discounts’. This offer is automatically applied on a sliding scale based on the usage percentage of the services throughout the month. You can even combine non-overlapping instances with claiming the benefits of a percentage discount up to the maximum level without any prepayments or commitments.
Useful Link: Full Advantage of Cloud Migration with GCP
Benefits of AWS (Amazon Web Services)
1) Global Infrastructure for Seamless Operations
AWS provides one of the most extensive and reliable global infrastructures, with data centers strategically located worldwide. For businesses aiming to operate globally, this translates to superior service performance, minimal latency, and enhanced user experiences no matter where their operations are located.
Veritis Advantage: Veritis helps you design and deploy a robust AWS architecture that maximizes performance while minimizing downtime. With Veritis, your global operations can run seamlessly, ensuring high availability and reliability for customers worldwide.
2) Comprehensive Service Portfolio
AWS offers diverse services, including computing, storage, machine learning, and analytics. This broad spectrum of tools enables businesses to build, deploy, and scale applications tailored to their needs.
Veritis Advantage: With our expert team, Veritis helps you navigate AWS’s extensive offerings to create a cloud environment ideally suited to your business, ensuring you take full advantage of AWS’s advanced capabilities for optimal results.
3) Flexible Cost Models for Optimized Spending
AWS provides various pricing options—on-demand, reserved instances, and spot instances—enabling businesses to control and optimize cloud spending. This flexibility allows for strategic resource allocation, helping you scale cost-effectively.
Veritis Advantage: Veritis develops tailored cloud cost management strategies that fit your operational needs. We help you optimize costs while maintaining performance, ensuring you get the best value from your AWS investments.
4) Mature Ecosystem and Community Support
AWS boasts a well-established and mature ecosystem supported by many developers and third-party tools. This makes it easier for businesses to find solutions, support, and innovative ways to integrate AWS services into their IT field.
Veritis Advantage: Veritis taps into AWS’s robust ecosystem to integrate the latest tools and solutions into your cloud strategy. Our extensive partnerships and expertise ensure your AWS deployment is smooth, supported, and scalable.
Benefits of Microsoft Azure
1) Seamless Hybrid Cloud Integration
One of Azure’s key differentiators is its ability to integrate on-premises infrastructure with cloud environments. Azure’s hybrid cloud capabilities allow businesses to extend their existing data centers into the cloud without sacrificing control or security.
Veritis Advantage: At Veritis, we specialize in hybrid cloud deployments, enabling you to bridge your on-premises infrastructure with Azure’s cloud services seamlessly. Whether your business requires a complete cloud migration or a hybrid model, Veritis ensures a smooth, secure transition.
2) Enterprise-grade Solutions for End-to-End Needs
Azure is built to meet the demands of enterprises, providing a comprehensive range of services such as Azure Active Directory, Windows Virtual Desktop, and numerous enterprise-level applications. Azure is a powerful option for organizations seeking a complete, end-to-end cloud solution.
Veritis Advantage: Veritis understands the complexities of enterprise environments. We help you implement Azure’s enterprise solutions in a way that enhances productivity, improves collaboration, and strengthens security across your entire organization.
3) High Performance and Scalability
With Azure, businesses can effortlessly scale their operations, ensuring high performance for resource-intensive applications. Azure’s ability to scale as needed makes it a perfect solution for businesses with variable workloads.
Veritis Advantage: Veritis designs cloud environments that are scalable and optimized for high-performance workloads. Our expertise in Azure ensures that your resources are used efficiently, delivering reliable performance during growth and peak demand periods.
4) Developer-centric Platform
Azure is recognized for its seamless integration with widely-used development tools and frameworks, making it the ideal platform for organizations focusing on application development and deployment.
Veritis Advantage: Veritis helps your development teams fully leverage Azure’s developer-friendly environment, enabling faster application development cycles, smoother deployments, and enhanced team collaboration.
Benefits of Google Cloud Platform (GCP)
1) Advanced Data Analytics and Machine Learning
GCP is known for its leadership in data analytics and machine learning, offering tools like BigQuery and TensorFlow. These services empower businesses to derive actionable insights from their data, driving innovation and better decision-making.
Veritis Advantage: Veritis enables you to unlock the full power of GCP’s analytics and AI capabilities. Incorporating these advanced tools into your cloud strategy, we help you drive smarter, data-driven business outcomes.
2) Commitment to Open Source
Google Cloud’s strong embrace of open-source technologies allows for greater flexibility and innovation. GCP supports many open-source tools, making it an ideal choice for businesses looking to integrate open-source solutions into their cloud infrastructure.
Veritis Advantage: Veritis ensures that your cloud environment fully supports open-source initiatives, allowing you to innovate while maintaining the reliability and security of GCP’s infrastructure.
3) World-class Network Infrastructure
Google’s global network infrastructure is renowned for its speed and reliability. It offers low-latency access to cloud services, making GCP a strong choice for businesses with high-performance requirements and global reach.
Veritis Advantage: Veritis helps you leverage GCP’s superior network infrastructure to ensure your cloud applications perform optimally, regardless of your users’ location. We ensure your business stays competitive with the fastest, most reliable network performance.
4) Sustainability and Eco-friendly Practices
GCP’s focus on sustainability sets it apart from other cloud providers. Google has committed to operating carbon-free by 2030, making GCP an excellent choice for businesses prioritizing environmental responsibility.
Veritis Advantage: Veritis helps businesses align their cloud strategies with sustainability goals. We support your company’s commitment to corporate responsibility and sustainability by integrating GCP’s eco-friendly practices into your cloud operations.
Useful Link: Cloud Implementation Services: Strategy, Solutions and Benefits
Use Cases for AWS Azure GCP
Each cloud provider has carved out its niche in the market, with specific use cases where it excels. Below is a detailed look at how AWS, Azure, and GCP differ and where they shine.
1) Amazon Web Services (AWS)
AWS is the most established cloud provider with the most significant global footprint. Its key strengths lie in scalability, extensive service offerings, and a mature ecosystem. This makes AWS the go-to choice for businesses that need flexibility, scalability, and a wide array of services to cater to multiple use cases.
- Global Reach and Scalability: AWS manages the world’s largest network of data centers, making it an excellent choice for organizations requiring a robust and scalable cloud presence across different regions. If your business is expanding globally or requires low-latency access across continents, AWS provides the infrastructure to support that growth.
- Wide Service Offering: AWS offers the broadest range of cloud services, from AI and machine learning to the Internet of Things (IoT) and advanced analytics. This versatility suits companies in diverse healthcare, finance, manufacturing, and e-commerce industries. Whether you’re hosting websites, running complex AI models, or managing big data, AWS has the tools to support your business.
- Mature Ecosystem: With a well-established user base and extensive third-party integrations, AWS offers unparalleled community support. Enterprises benefit from a mature ecosystem that ensures fast problem resolution, access to certified AWS partners, and a broad marketplace of compatible solutions.
Veritis Advantage: Veritis helps businesses leverage AWS’s global reach and vast service catalog to build highly scalable and tailored cloud environments. Our AWS specialists collaborate closely with your team to ensure the infrastructure scales seamlessly with your business while optimizing for performance and cost-efficiency.
2) Microsoft Azure
Microsoft Azure excels in hybrid cloud solutions, seamless integration with Microsoft products, and a strong focus on security and compliance. If your business is already invested in Microsoft technologies or has strict regulatory requirements, Azure can deliver unique benefits that are hard to match.
- Integration With the Microsoft Ecosystem: Azure integrates seamlessly with Microsoft’s on-premises products, such as Windows Server, Active Directory, and Microsoft 365. For enterprises deeply embedded in the Microsoft ecosystem, Azure offers a smooth migration path to the cloud, enabling hybrid cloud deployments that allow you to retain specific workloads on-premises while scaling others to the cloud.
- Hybrid Cloud Solutions: Azure leads the market in hybrid cloud solutions, making it the top choice for businesses with existing on-premises infrastructure. Azure Stack and Azure Arc enable businesses to seamlessly extend their on-premises environments into the cloud, offering greater flexibility while simplifying the management of multiple environments.
- Security and Compliance: Azure prioritizes compliance, making it well-suited for industries with strict regulatory standards, including healthcare, finance, and government. Azure’s comprehensive security features protect your data, including multi-layered security across data centers, infrastructure, and operations.
Veritis Advantage: Veritis offers deep expertise in integrating Azure with your existing Microsoft technologies, enabling smooth hybrid cloud deployments that enhance operational agility. We help organizations maximize Azure’s potential while ensuring compliance with industry regulations and maintaining high-security standards.
3) Google Cloud Platform (GCP)
Google Cloud Platform is known for its leadership in data analytics, Kubernetes, and containerization and its high-performance network infrastructure. GCP is an excellent choice for firms that rely heavily on data-driven applications, machine learning, and containerized workloads.
- Data Analytics and Machine Learning: GCP’s data analytics and machine learning capabilities are second to none, with industry-leading tools like BigQuery, TensorFlow, and Vertex AI. Organizations focused on extracting insights from big data or building advanced AI models will find GCP the best fit for their needs.
- Kubernetes and Containerization: Google, the birthplace of Kubernetes, leads the cloud market in containerization services. GCP’s Kubernetes Engine (GKE) provides powerful tools for managing containerized applications at scale. For enterprises adopting microservices architecture, GCP offers a proven and reliable solution.
- High-performance Global Network: GCP’s network infrastructure is designed for low-latency, high-performance computing, making it ideal for applications that require fast data transfer and rapid response times. This makes GCP a preferred choice for organizations running real-time applications, such as gaming, media streaming, and high-frequency trading platforms.
Veritis Advantage: Veritis helps businesses unlock the full potential of GCP’s data analytics, machine learning, and Kubernetes services. By leveraging Google’s advanced capabilities, we empower organizations to innovate faster, process data more efficiently, and confidently deploy applications at scale.
Debunking Common Myths: One Cloud Does Not Fit All
One common misconception is that choosing a cloud provider is a one-size-fits-all decision. Each cloud platform—AWS, Azure, and GCP—has unique strengths that make it more suitable for different workloads. Businesses that approach cloud adoption with the mindset of using only one provider might miss out on the benefits of a multi-cloud strategy.
At Veritis, we help organizations embrace a flexible cloud strategy that may involve a mix of AWS, Azure, and GCP services. This multi-cloud approach permits organizations to capitalize on the best features of each platform while ensuring redundancy, enhancing performance, and optimizing costs.
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AWS Vs Azure Vs GCP Cloud Cost Comparison
Detail | Amazon AWS | Microsoft Azure | Google GCP |
Minimum Instance | 2 virtual CPUs, and 8 GB of Ram will price you around – USD 69/month | 2 virtual CPUs, and 8 GB of Ram will price you around – USD 70/month | 2 virtual CPUs, and 8 GB of Ram will price you around – USD 52/month |
Maximum Instance | 3.84 TB Ram, 128 vCPUs will price you around – USD 3.97/hour | 3.89 TB Ram, 128 v CPUs will price you around – USD 6.97/hour | 3.75 TB Ram, 160 v CPUs will price you around – USD 5.32/hour |
Type of Discount | Reserved Instances (RIs) | Reserved Instances (RIs) | Committed Use Discount (CUD) Sustained Use Discount (SUD) |
Commitment | 1 or 3 years | 1 or 3 years | Committed Use Discount (CUD) – 1 or 3 years Sustained Use Discount (SUD) – no commitment |
Discount percentage | Up to 75 percent | Up to 72 percent | Committed Use Discount (CUD) – for 1 year up to 37 percent or 3 years up to 55 percent Sustained Use Discount (SUD) – up to 30 percent |
Is cancellation available? | Yes, it offers to sell your products on the marketplace | Yes, they will charge a 12% cancellation fee | No cancellation is available |
Payment options | 3 options are available on AWS – no up-front, partial up-front, all up-front | All up-front | No up-front |
High Profile Customers | LinkedIn, Facebook, BBC, Airbnb, Twitch, Netflix, Adobe, ESPN, Lamborghini, etc. | Apple, HP, Coca-Cola, LG Electronics, Verizon, Xbox, Fujifilm, etc. | Twitter, Intel, Yahoo, PayPal, eBay, Target, 20th Century Fox, etc. |
Service-Specific Cost Analysis
Cloud adoption is accelerating, and choosing the right cloud provider involves more than performance considerations; it requires a precise cloud computing price comparison to optimize costs while maintaining scalability. Enterprises need a thorough cloud pricing comparison between AWS, Azure, and Google Cloud to ensure they make cost-effective decisions without sacrificing efficiency.
Go through the detailed AWS vs GCP vs Azure market share analysis, highlighting the cost structures of key services: compute (EC2 vs. Azure VM vs. GCP Compute Engine), storage (S3 vs. Azure Blob vs. GCP Cloud Storage), and databases (RDS vs. Cosmos DB vs. BigQuery).
Compute Services: AWS EC2 vs. Azure VM vs. GCP Compute Engine
1) AWS EC2 Pricing
AWS EC2 offers flexible pricing models, including On-Demand, Reserved Instances, and Spot Instances. Price comparison AWS Azure Google shows that AWS provides deep discounts with Reserved Instances, but On-Demand instances can be costly if not optimized.
- On-Demand EC2: Starts at $0.0104 per hour for t4g.micro.
- Reserved Instances: Up to 75% cost savings.
- Spot Instances: Up to 90% savings but less predictable.
2) Azure Virtual Machines Pricing
Azure VM pricing aligns with AWS regarding flexibility but often includes advantages of cloud computing cost comparison in hybrid environments. Microsoft offers Azure Hybrid Benefit, allowing businesses to use existing licenses to save costs.
- Pay-as-you-go: Starts at $0.008 per hour for B1ls.
- Spot VMs: Savings up to 90% with preemptible workloads.
- Reserved VM Instances: Up to 72% discounts.
3) Google Cloud Compute Engine Pricing
GCP Compute Engine takes a unique approach with sustained-use discounts that automatically reduce costs for long-running instances. AWS vs GCP vs Azure market share research shows that GCP offers competitive pricing for enterprises with continuous workloads.
- On-Demand: Starts at $0.0076 per hour for e2-micro.
- Sustained Use Discounts: Automatic savings of up to 30%.
- Preemptible VMs: Up to 80% discounts.
Storage Services: AWS S3 vs. Azure Blob vs. GCP Cloud Storage
1) AWS S3 Pricing
AWS S3 dominates the market with a tiered pricing model, making it essential for enterprises conducting a cloud pricing comparison.
- Standard: $0.023/GB for the first 50TB.
- Infrequent Access: $0.0125/GB.
- Glacier (Cold Storage): $0.004/GB.
2) Azure Blob Storage Pricing
Azure Blob Storage provides cloud computing cost comparison benefits by offering Hot, Cool, and Archive tiers with enterprise-level security integrations.
- Hot Storage: $0.0184/GB.
- Cool Storage: $0.01/GB.
- Archive Storage: $0.00099/GB.
3) Google Cloud Storage Pricing
GCP Cloud Storage focuses on simplicity and integrates well with analytics services, providing businesses with cost-effective solutions in AWS Azure Google price comparison reports.
- Standard Storage: $0.02/GB.
- Nearline (Infrequent Access): $0.01/GB.
- Coldline (Archival Storage): $0.004/GB.
Database Services: RDS vs. Cosmos DB vs. BigQuery
1) AWS RDS Pricing
AWS RDS supports multiple database engines with AWS Azure Google price comparison flexibility. Pricing varies by instance type and database engine.
- MySQL/Aurora: Starts at $0.017/hour for db.t3.micro.
- PostgreSQL: Starts at $0.02/hour.
- Reserved Instances: Up to 69% discount.
2) Azure Cosmos DB Pricing
Azure Cosmos DB takes a global-first approach with cloud computing cost comparison benefits through flexible throughput-based pricing.
- Provisioned Throughput: Starts at $0.008/hour per 100 RU/s.
- Serverless Pricing: Pay only for queries executed.
3) Google BigQuery Pricing
BigQuery adopts a consumption-based pricing model, which makes it a key differentiator in AWS vs. GCP vs. Azure market share reports.
- On-Demand Queries: $5 per TB scanned.
- Flat-Rate Pricing: Starts at $10,000/month for enterprise users.
Companies must consider workload patterns, data access frequency, and regional pricing variations when conducting a cloud computing price comparison. Price comparison AWS Azure Google research shows that AWS leads in flexibility, Azure provides hybrid advantages, and GCP excels in AI-enabled analytics and cost efficiency. A well-structured cloud pricing comparison allows enterprises to optimize cloud spending while maintaining scalability and security.
For enterprises aiming to maximize ROI, AWS vs GCP vs Azure market share insights must be continuously monitored to align with changing business needs. Choose wisely, optimize costs, and ensure cloud investments drive measurable business value.
Useful Link: AWS Vs Azure Vs GCP Comparison – The Cloud Platform of Your Choice?
Comparing Management Tools’ Costs – AWS CloudWatch vs. Azure Monitor vs. GCP Cloud Operations Suite
Cloud management tools help organizations monitor, analyze, and optimize their infrastructure. However, pricing models vary significantly across providers, making a cloud computing price comparison essential for cost-conscious enterprises. This article provides a cloud pricing comparison of the three leading cloud monitoring services—AWS CloudWatch, Azure Monitor, and GCP Cloud Operations Suite—to help decision-makers select the most cost-effective solution.
Price Comparison – AWS CloudWatch vs. Azure Monitor vs. GCP Cloud Operations Suite
1) AWS CloudWatch Pricing
AWS CloudWatch provides flexible, usage-based pricing, but costs can rise quickly depending on monitoring depth and retention periods. Businesses conducting a price comparison AWS Azure Google will find CloudWatch competitive for essential monitoring but expensive for advanced analytics.
- Basic Monitoring: Free for up to 1 million API requests.
- Custom Metrics: $0.30 per metric per month.
- Logs: $0.50 per GB ingested, $0.03 per GB archived.
- Alarms: Starts at $0.10 per alarm per month.
2) Azure Monitor Pricing
Azure Monitor offers pay-as-you-go pricing with tiered log retention. It provides cost-effective scaling for enterprises already in the Microsoft ecosystem. A detailed cloud computing cost comparison highlights its affordability for businesses using Azure-native services.
- Log Data Ingestion: Starts at $2.30 per GB.
- Retention Costs: Free for the first 31 days, then $0.10 per GB.
- Alerts: $0.50 per rule per month.
- Metrics Storage: Free for up to 150MB per month.
3) GCP Cloud Operations Suite Pricing
Google Cloud Operations Suite follows a pay-per-use model with sustained-use discounts, making it a strong contender in AWS vs GCP vs Azure market share discussions. AWS Azure Google price comparison reports show GCP as a cost-efficient choice for data-heavy applications.
- Logging: Free for the first 50GB, then $0.50 per GB.
- Monitoring Metrics: Free for the first 150MB, then $0.30 per MB.
- Alerts: $0.10 per alerting policy per month.
- Tracing: Free up to 2.5 million spans, then $0.20 per million spans.
Cloud Pricing Comparison – Which Tool Offers the Best Value?
A cloud computing price comparison reveals the following:
- AWS CloudWatch is ideal for enterprises requiring deep AWS integration but incurs high storage and custom metric costs.
- Azure Monitor provides the best balance for Microsoft-centric businesses looking for predictable, tiered pricing.
- GCP Cloud Operations Suite offers the lowest entry costs with sustained-use discounts that reduce long-term expenses.
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Pricing for Emerging Technologies – AI/ML Services and Kubernetes
Emerging technologies like AI/ML services and Kubernetes orchestration are transforming cloud computing. However, the cost of deploying these services varies significantly between AWS, Azure, and Google Cloud. A precise cloud computing price comparison helps enterprises optimize spending while leveraging cutting-edge capabilities. This AWS vs GCP vs Azure market share analysis examines the cost structures of leading AI/ML services—AWS SageMaker, Azure ML, and GCP Vertex AI—along with Kubernetes pricing for EKS, AKS, and GKE.
Cost Analysis of AI/ML Services: AWS SageMaker vs. Azure ML vs. GCP Vertex AI
1) AWS SageMaker Pricing
AWS SageMaker provides a pay-as-you-go model with different pricing tiers based on training, inference, and data storage. Conducting a cloud pricing comparison of AI services shows SageMaker offers flexible pricing but can become costly for large-scale deep learning models.
- Training Instances: Starts at $0.056/hour for ml.t3.medium.
- Inference Costs: Starts at $0.004/hour per endpoint.
- Data Storage: $0.10/GB per month for model artifacts.
2) Azure Machine Learning Pricing
Azure ML’s pricing is structured similarly to AWS, with costs based on compute instances, storage, and data processing. For cost savings, companies seeking a price comparison AWS Azure Google must consider Azure ML’s integration with enterprise Microsoft ecosystems.
- Compute Instances: Starts at $0.018/hour for Standard_DS11_v2.
- Inference Costs: Charged based on virtual machine type and usage.
- Data Storage: $0.07/GB per month for machine learning models.
3) Google Cloud Vertex AI Pricing
GCP Vertex AI adopts an automated pricing model that optimizes training and inference costs based on usage. A cloud computing cost comparison reveals that Google’s AI pricing benefits businesses running continuous ML workflows.
- Training: Starts at $0.031/hour for n1-standard-4.
- Prediction Costs: $0.05 per 1,000 online prediction requests.
- Storage: $0.026/GB per month for AI models.
AI/ML Pricing Takeaway
A cloud computing price comparison of AI/ML services shows that:
- AWS SageMaker is best for enterprises needing end-to-end ML model development.
- Azure ML is ideal for companies that are integrating with Microsoft’s data ecosystem.
- Google Vertex AI provides cost-efficient automation for large-scale AI workflows.
Pricing for Kubernetes: EKS vs. AKS vs. GKE
1) AWS Elastic Kubernetes Service (EKS) Pricing
AWS EKS charges a flat management fee plus computing and networking costs. Companies evaluating a cloud pricing comparison must consider AWS’s security and scalability benefits.
- EKS Cluster Fee: $0.10/hour per cluster.
- Worker Nodes: Standard EC2 pricing applies.
- Networking Costs: Varies based on VPC configurations.
2) Azure Kubernetes Service (AKS) Pricing
Azure AKS provides a fully managed Kubernetes experience with free control plane usage. Businesses performing an AWS Azure Google price comparison may find AKS more cost-effective for enterprises already using Azure services.
- Control Plane: Free.
- Worker Nodes: Billed based on Azure VM pricing.
- Networking Costs: Charged per Azure Load Balancer used.
3) Google Kubernetes Engine (GKE) Pricing
GCP’s GKE offers a tiered pricing model with free and paid versions. AWS vs GCP vs Azure market share insights show that GKE is a strong choice for organizations running hybrid Kubernetes environments.
- GKE Standard: $0.10/hour per cluster.
- GKE Autopilot: $0.04 per vCPU/hour.
- Worker Nodes: Standard GCP Compute Engine pricing applies.
Kubernetes Pricing Takeaway
A cloud computing cost comparison of Kubernetes services shows that:
- AWS EKS offers robust security and scalability but includes additional fees.
- Azure AKS is cost-efficient for businesses using Azure-native services.
- GCP GKE provides a flexible, automated pricing model suitable for hybrid cloud setups.
Enterprises adopting AI/ML and Kubernetes must evaluate costs beyond base pricing. A well-structured cloud pricing comparison enables businesses to optimize cloud spending and improve efficiency. Price comparison AWS Azure Google research shows that AWS leads in flexibility, Azure integrates seamlessly with Microsoft workloads, and Google Cloud provides cost-effective AI automation.
A continuous AWS vs GCP vs Azure market share analysis ensures organizations stay ahead of changing pricing models. The right cloud investment strategy will drive innovation while controlling costs.
Useful Link: Top 10 Security Issues in Cloud Computing
Cessation for AWS Vs GCP Vs Azure Pricing Models
The three prominent cloud vendors, AWS vs Azure vs Google Cloud, have successfully claimed the top places in cloud computing price, and they have a very cutthroat competition to secure the number one position in the cloud landscape market. The world’s top 3 cloud infrastructure vendors are decreasing their prices regularly. They also offer unique pricing models and different discount options, making it hard to pick in the current scenario. AWS Azure Google price comparison depends on the services you require for your business. AWS vs Azure vs Gcp market share follows 33 percent, 23 percent, and 11 percent in 2024.
Know your requirements and end goal before picking your company’s best cloud service provider. For example, if millions of users are operating your application and your organization uses thousands of instances, this blog post will help you save thousands of dollars. AWS vs GCP vs Azure pricing depends on the services you require and can vary widely by different plans, discount options, features, resource use, and more.
You can opt for AWS cloud services if your enterprise needs a deep feature portfolio. GCP pricing is better for organizations seeking optimal innovation and low cost. Azure is the best choice for companies that primarily operate Microsoft products.
The myriad choices may make deciding which one to go with is tough. Instead of choosing between one of the three, why not go with a multi-cloud strategy that gets you the benefits of the various cloud provider comparisons? However, implementing a multi-cloud strategy is easier said than done, which is one of many reasons companies seek Veritis’s services.
Veritis, the Stevie and Globee Business Awards winner, offers a platform to discuss and explore emerging technologies in unprecedented breadth and depth. Veritis has a dedicated team of experts to find the best solution within the budget for your organization. We deliver many services, from cloud and DevOps services to technology advisory.
Want to know more about Veritis’ capabilities?
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Additional Resources:
- Top 15 AWS Machine Learning Tools in the Cloud
- 6 Ways AIOps Optimizes Cloud Security
- Amazon Aurora Vs Amazon RDS Comparison
- MongoDB Vs RDBMS: Comparing the Big 2 Database Services
- Cloud Vs On Premise: IT Infrastructure Model of Your Choice?
- Which Cloud has Better Private Connectivity: AWS or Azure or GCP?