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Cloud Pricing Comparison 2022: AWS vs Azure vs Google Cloud

Posted on October 29, 2022 by

Categories: AWS


Brief Summary Major cloud providers (AWS, Azure, Google, and IBM) have introduced instances, decreased pricing increments, and in some cases switched to per-second charging as they continue to reduce the cost of cloud instances. To assist you in selecting the most affordable virtual instance, this blog offers you a pricing comparison.


Due to how frequently prices vary, comparing the costs of AWS, Azure, and Google cloud has never been easy. In terms of the price you’ll pay for cloud services today, it’s true that such a variance would only be valuable in the near term, but it highlights significant cost disparities you might not have seen before. Most significantly, it aids in the administration of cloud costs for your software development project.

Because a compute instance determines the price you pay in cloud computing, compute resources often account for 75% to 80% of an organization’s cloud expenditures. In this article, we’ll analyse the prices of instances and virtual machines on Google Cloud, Azure, and Amazon EC2.

You can come across phrases like $0.0XX per instance per hour while browsing the cost of instances. And you might be wondering how price comparison could lower your cloud cost. Let’s use Netflix as an example to better understand this as it uses Amazon Web Service for its video streaming services (see the case study):

Amazon EC2 instances and Kinesis data streams are used by Netflix to efficiently manage the streaming workload for 190 countries. Netflix has been using the newest AWS Graviton2-based EC2 instances, which has assisted them in improving their performance by 50%, in order to take advantage of the new improvements announced in the AWS reInvent 2020 announcements. Netflix now pays $2.464/hour for m6g.16xlarge, compared to $3.2/hour for the previous generation, m4.16xlarge, and just $0.0154/hour for m6g.xlarge. Imagine the money Netflix saves by using cloud billing, which also results in a lower fee for its users. This demonstrates how thousands of dollars in total cloud costs may be saved by a little variation in instance pricing.

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    Comparison Standards for Cloud Pricing

We are comparing the CPUs and OS systems for AWS instances, Azure virtual machines, and Google Cloud machines in the same region to better understand the pricing disparity.

  • general intent
  • optimum computing
  • optimised for memory
  • A faster kind of computing

For our evaluation of Google VMs, Amazon EC2, and Azure VMs, we selected instances with 4 vCPUs and comparable RAM for each kind of instance.

The memory-optimized and accelerated-computing instances for the Google cloud are an exception, it should be noted. This is due to the fact that, unlike AWS and Azure, their minimum vCPUs presently do not start at 4 vCPUs. Instead, they start at 12vCPUs for accelerated computing systems and 40vCPUs for memory-optimized systems, which suggest extremely advanced processing potential but may seem excessive from a cost perspective. However, it’s important to remember that Google Cloud’s memory-optimized and accelerated instances provide greater memory. The chosen virtual machines (instances) for cloud computing cost comparison are listed below.

  • Google cloud against AWS, Azure, and
  • Google Cloud, Azure, and AWS On-Demand Pricing Comparison
  • The table below shows the hourly on-demand cost for each service for each of the four instance-type situations.

Cloud Pricing Comparison for On-Demand Services in 2022 Note:

For the various instance kinds, red in the table above denotes the highest price and green the lowest price.

Key conclusions:

For systems that run on general-purpose and memory-optimized cloud instance types, Google Cloud and AWS price are practically identical.
The cost distinction between AWS and Azure’s respective compute-optimized cloud instances is minimal. The most expensive service in this category is Google Cloud Platform, which offers scalable processors and an all-core turbo performance.
Due to the lack of 4 vCPUs, unlike AWS or Azure, Google Cloud’s cost for memory-optimized and accelerated computing instances is significantly higher. Instead, they offer 40 and 12 virtual CPUs, respectively.