Cloud Pricing Comparison 2023: AWS vs. Azure vs. Google Cloud

Software Web
cloud pricing comparison

Cloud Pricing Comparison 2023: AWS vs. Azure vs. Google Cloud

Are you still wondering which Cloud computing platform will be the right choice for you? Is the budget your main concern? Do not bother anymore as we are here with the blog that gives detailed cloud pricing comparison between AWS, Azure, and Google Cloud.

Cloud providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), offer different pricing models, including pay-as-you-go, subscription-based, and discounted upfront for cloud price comparison.

Which pricing model is used by AWS GCP and Azure?

cloud pricing comparison

Pay-as-you-go Pricing

Pay-as-you-go pricing allows you to pay only for the resources you use, with no upfront costs or long-term commitments. This is a good option for businesses that have variable or unpredictable workloads for cloud services price comparison.

Subscription-based Pricing

Subscription-based pricing comparison for cloud services involves paying a fixed amount regularly, usually monthly or annually, to access a certain amount of resources. This is a good option for businesses with predictable workloads.

Discounted upfront Pricing

Discounted upfront pricing involves paying a discounted rate in advance in exchange for a commitment to use a certain amount of resources over a certain period. This is a good option for businesses with long-term, predictable workloads.
In addition to these pricing models, cloud providers offer various discounts and pricing options, such as reserved instances, spot instances, and sustained use discounts. It’s important to carefully compare the different pricing options and discounts each cloud provider offers to find the best deal for your business.

What factors affect Cloud pricing?

cloud pricing comparison

There are several factors to consider when comparing cloud pricing:

Type of pricing model: Cloud providers offer various pricing models, such as pay-as-you-go, subscription-based, and discounted upfront for AWS vs. google cloud pricing. Choose the model that best fits your needs.

Cost of compute resources:

Compare the prices of different types of additional resources, such as virtual machines, containers, and serverless functions, to find the most cost-effective option for your workload.

Storage costs:

Consider the cost of storing data in the cloud, including the cost of keeping data long-term, the cost of transferring data in and out of the cloud, and the cost of backing up data.

Networking costs:

Compare the price of networking resources, such as data transfer, load balancing, and IP addresses.

Support and service costs:

Consider any additional services or support you may need, such as managed services or technical support.

Other cost considerations:

Look for hidden costs, such as fees for data egress or exceeding usage limits, and consider the cost of migrating your workloads to the cloud.
On-demand pricing allows you to pay for cloud resources on an as-needed basis rather than committing to a fixed amount in advance. In this article, we will compare on-demand pricing for virtual machines (VMs) on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) and Azure vs. google cloud pricing.
First, let’s define some terms to do Google cloud pricing vs. AWS:

1. Instance:

A VM instance is a virtual machine running in the cloud.

2. Instance type:

Each instance type has a specific combination of CPU, memory, and other resources.

3. Region:

A region is a geographical area consisting of one or more availability zones. An availability zone is a separate data center with redundant power, networking, and cooling.

4. Operating system:

An operating system (OS) is the software that runs on a computer and manages the computer’s hardware and software resources.

Want to Consult Experts for App and Web Development?

Just give a call or drop an enquiry and development professionals from our team gets in touch to give you the best advice.

On-Demand Pricing Comparison

Now, let’s compare on-demand pricing for VMs on each platform for AWS azure google cloud price comparison:

Amazon Web Services (AWS)

Cloud Pricing Comparison 2023: AWS vs. Azure vs. Google Cloud
AWS offers a variety of instance types for AWS cost comparison, each with a different combination of CPU, memory, and other resources. Prices for on-demand instances on AWS are based on the instance type, region, and operating system. On-demand samples are priced per hour, with a one-year or three-year commitment. AWS offers several pricing options, such as reserved and spot instances, which can provide discounts on on-demand pricing.

Microsoft Azure

Like AWS, Azure offers a range of instance types with different combinations of resources. On-demand instances on Azure are priced per hour, with a one-year or three-year commitment. Prices vary depending on the instance type, region, and operating system to hire dedicated developers. Azure offers several pricing options, such as reserved instances and low-priority VMs, which can provide further discounts on on-demand pricing.

Google Cloud Platform (GCP)

GCP offers a variety of instance types, each with a different combination of resources. On-demand instances on GCP are priced per minute, with a one-year or three-year commitment. Prices vary depending on the instance type, region, and operating system.

GCP offers several pricing options, such as sustained-use discounts and custom machine types, which can provide further discounts on on-demand pricing.

It’s worth noting that prices for on-demand instances on all three platforms are subject to change. You should always check with the cloud provider for the most up-to-date pricing. You can also get a discount by committing to a specific usage or using a custom machine type and mobile app development. Besides AWS, Azure, and Google Cloud, startups and enterprises can also consider Heroku as a cloud computing platform, as it is cost-effective compared to AWS and offers rich features.

On-demand pricing allows you to pay for cloud resources on an as-needed basis. AWS, Azure, and GCP offer various instance types and pricing options, with prices varying based on the instance type, region, and operating system. You should always check with the cloud provider for the most up-to-date pricing and consider using pricing options, such as reserved instances or custom machine types, to get the best deal.

Discounted Pricing Comparison

In addition to on-demand pricing, cloud providers offer discounted pricing options for specific workloads. Here is a comparison of discounted pricing options on AWS, Azure, and Google Cloud for Google cloud pricing vs. AWS:

Amazon Web Services (AWS)

AWS offers a variety of instance types for AWS cost comparison, each with a different combination of CPU, memory, and other resources. Prices for on-demand instances on AWS are based on the instance type, region, and operating system. On-demand samples are priced per hour, with a one-year or three-year commitment. AWS offers several pricing options, such as reserved and spot instances, which can provide discounts on on-demand pricing.

Reserved instances:

With reserved instances, you can get a discount on the hourly rate for on-demand instances by committing to a one-year or three-year term.

Spot instances allow you to bid on spare capacity in the AWS cloud. Your models will run if your bid exceeds the current spot price. Your samples will be terminated if the spot price rises above your request.

Savings Plans:

With Savings Plans, you can get a discount on the hourly rate for EC2 instances, Fargate, and Lambda by committing to a specific usage.

Microsoft Azure

cloud pricing comparison
Like AWS, Azure offers a range of instance types with different combinations of resources. On-demand instances on Azure are priced per hour, with a one-year or three-year commitment. Prices vary depending on the instance type, region, and operating system to hire dedicated developers. Azure offers several pricing options, such as reserved instances and low-priority VMs, which can provide further discounts on on-demand pricing.

Reserved instances:

With reserved instances, you can get a discount on the hourly rate for on-demand instances by committing to a one-year or three-year term.

Low-priority VMs:

Low-priority VMs allow you to bid on spare capacity in the Azure cloud. Your instances will run if your bid is higher than the current spot price. Your samples will be terminated if the spot price rises above your request.

Commitment plans:

You can get a discount on the hourly rate for certain Azure resources by committing to a specific amount of usage.

Google Cloud Platform (GCP)

Like AWS, Azure offers a range of instance types with different combinations of resources. On-demand instances on Azure are priced per hour, with a one-year or three-year commitment. Prices vary depending on the instance type, region, and operating system to hire dedicated developers. Azure offers several pricing options, such as reserved instances and low-priority VMs, which can provide further discounts on on-demand pricing.

Sustained use discounts:

GCP automatically provides a discount on the hourly rate, for instance, a usage that exceeds 25% of a month. The longer you use the model, the higher the value.

Custom machine types:

With custom machine types, you can specify the exact number of CPU and memory resources you need, resulting in a lower overall cost.

Committed use discounts:

With committed use discounts, you can get a discount on the hourly rate for certain types of GCP resources by committing to a specific usage.

Per-Second Billing Comparison

All three major cloud providers — Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) — offer per-second billing for specific resources.

Here is a summary of each provider’s per-second billing options:

Amazon Web Services (AWS)

AWS offers per-second billing for the following resources:

Microsoft Azure

Azure offers per-second billing for the following resources:

Google Cloud Platform (GCP)

cloud pricing comparison
GCP offers per-second billing for the following resources:

Serverless Pricing Comparison

Some examples of serverless cloud services are Amazon Web Services’ Lambda, Microsoft Azure’s Functions, and Google Cloud’s Functions. These cloud services measure your computing time usage in 100-ms intervals and bill you accordingly. So, the developers can concentrate on writing code and setting up events without worrying about anything else, as companies that offer serverless services will handle the rest.

You no longer have to reserve the CPU Cores and RAM of the underlying EC2 instances or virtual machines to save money. As it charges only for the time the code runs.

Per-Second Billing Comparison

This table compares the price models of Amazon Web Services, Microsoft Azure, and Google Cloud Platform according to the machine type offered by each service:
Machine Type AWSAzure GCP
Smallest Instance For a primary instance on AWS with two virtual CPUs and eight GB of RAM, the monthly fee is about $69.A similar sort of instance in Azure, namely an instance with 2 CPUs and 8 GB of RAM, will cost about $70 per month.The most basic instance on GCP, which has two virtual CPUs and eight gigabytes of RAM, is 25% less expensive than on AWS. Therefore, the monthly expense will average about $52.
Largest InstanceThe highest-end AWS instance costs about US$3.97/hour and has 3.84 TB of RAM and 128 CPUs.The largest Azure instance has 3,89 terabytes of RAM and 128 processors. The hourly rate is roughly $6.79. 
Time and costTo design a native application that is compatible with numerous platforms, a substantial budget is necessary (such as iOS and Android)Hybrid apps are less expensive, or more accurately, cost-effective because they take less time to design.GCP’s largest instance has 3.75 TB of RAM and 160 CPUs, making it the most powerful of its competitors. The rate per hour is roughly $5.32 (USD).
CodebaseThey have multiple codebasesThey have a single codebase 
User experienceThey provide the best user experienceThe user experience with hybrid apps is poor comparatively 
Platform DependentThese applications were for a single platformHybrid apps can run on a number of different platforms. It means they can work on both iOS and Android devices 
UpdateThe play store or the app store is helpful to update mobile native apps  

Amazon Web Services

Looking for An IT Company That Helps you Develop Amazing SaaS product?

Microsoft Azure

Google Cloud

Cloud pricing can be complex, but is indispensable for growth and scalability in today’s market. One of the major advantages of cloud computing is security and blockchain in cloud computing makes it even stronger.

It can be challenging to compare the different pricing models and options each cloud provider offers. However, it is essential to carefully consider cloud pricing as it can significantly impact your overall cloud bill. There are several factors to consider when comparing cloud pricing, including the pricing model, the cost of compute resources, storage costs, networking costs, and support and service costs.

Conclusion

When comparing cloud pricing, it is essential to carefully evaluate your business needs and choose the pricing model and options that best fit your workload and budget. Pay-as-you-go pricing is a good option for businesses with variable or unpredictable workloads, while subscription-based pricing is a good option for companies with predictable workloads. Discounted upfront pricing is a good option for businesses with long-term, predictable workloads.

Additionally, it is essential to consider the total cost of ownership (TCO) when evaluating cloud pricing. TCO includes not only the price of the cloud resources but also the cost of migrating to the cloud, managing the cloud environment, and any additional services or support you may need.

If you are still confused about which cloud platform to go for, you can reach out to us. Echoinnovate IT is one of the leading Cloud computing provider agencies in India. Hire dedicated developers from Echoinnovate IT for your cloud computing needs on any of the three platforms. You can connect with us at Info@echoinnovateit.com to book a free consultation or get a quote.

Author

Kush P

Kush Patel is the Chief Technical Officer and Managing Director of Echo Innovate IT – a software development company. He is responsible for the overall operations of the company and has played a major role in making Echo innovate IT the top-notch IT services provider and transforming it into a globally trusted web and app development company.

Leave a comment

Your email address will not be published. Required fields are marked *