Cloud Pricing Comparison 2023: AWS vs. Azure vs. Google Cloud
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?
What factors affect Cloud pricing?
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.
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On-Demand Pricing Comparison
Now, let’s compare on-demand pricing for VMs on each platform for AWS azure google cloud price 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.
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:
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.
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:
- EC2 instances: Per-second billing is available for Linux instances launched in On-Demand, Reserved, and Spot forms.
- Lambda: Per-second billing is available for Lambda functions.
- Fargate: Per-second billing is available for Fargate tasks.
- Virtual machines: Per-second billing is available for Linux virtual machines in Pay-As-You-Go, one-year, and three-year Azure Reservations.
- Azure Functions: Per-second billing is available for Azure Functions.
- Container Instances: Per-second billing is available for Container Instances.
- Virtual machines: Per-second billing is available for all virtual machine instances.
- Kubernetes Engine: Per-second billing is available for Kubernetes Engine clusters.
- App Engine: Per-second billing is available for App Engine standard environment instances.
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
| Machine Type | AWS | Azure | 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 Instance | The 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 cost | To 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). |
| Codebase | They have multiple codebases | They have a single codebase | |
| User experience | They provide the best user experience | The user experience with hybrid apps is poor comparatively | |
| Platform Dependent | These applications were for a single platform | Hybrid apps can run on a number of different platforms. It means they can work on both iOS and Android devices | |
| Update | The play store or the app store is helpful to update mobile native apps |
Amazon Web Services
- Provides a wide variety of services ranging from networking to robots
- One of the most trusted and secure options available
- Higher computational power than both Azure and GCP
- It is necessary to pay all of the big software companies that offer their programs through AWS's Dev/Enterprise support
- Inexperienced users may feel overwhelmed by various services and customization possibilities
- There need to be more hybrid cloud services
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Microsoft Azure
- Microsoft makes it easy to migrate and integrate existing services
- Superior artificial intelligence (AI), machine learning, and data analytics services are just a few available choices
- Costs for most services are lower than those of Amazon Web Services and Google Cloud Platform
- Hybrid cloud strategies enjoy widespread support
- Compared to AWS, there are fewer services to choose from
- Developed with the needs of corporate clients in mind
Google Cloud
- Integrates smoothly with Google's other offerings
- Superb aid for containerized workloads
- Limited services compared to AWS and Azure
- Fewer features than AWS and Azure
- Less help for business uses
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.
