Azure free tier, AWS or Google Cloud, which one to choose?

google cloudFor users with modest storage, database, and network needs, Google just introduced a free offer for the Google Cloud Platform. Some free levels of service are already available from providers like AWS and Microsoft Azure. How to compare them is shown below.


Storage and computing are made available by Google cloud gratis. Almost all the components, including the Container Engine and cloud features, are included in the whole range of free-tier goods.

It has a low usage ceiling because it is merely a Free Tier. For instance, the user is only allowed to run one instance of F1-micro on Compute Engine, using 600MB of memory and 20% of a virtual CPU.

It is already accessible in the US with 1GB of US network egress per month for each distinct egress destination, 30GB of persistent storage per month, and 5GB of quick storage (US, Asia, and Europe). That’s a good setting for static websites or simple apps, but any project with greater ambition may feel constrained.

It is important to realize that while the Container Engine, which runs Kubernetes, only supports a basic cluster of five nodes for free, each node in the cluster incurs the regular expenses of the Compute Engine, meaning that huge projects cannot be built using the Free Tier.

The Cloud Vision, Speech, and Natural Language APIs, which are primarily intended for testing rather than production use, are just a few examples of the sophisticated functionality that is also supplied without charge. There are usage restrictions for these features as well. For instance, speech provides 60 minutes each month.

A certain number of free-use credits were already available from Google for brand-new Google Cloud Platform users. For the first 12 months, that deal is still available to new enrollees, who can receive a $300 credit (previously 60 days).

Always Free, a cost-free utilization level offered for various Cloud Platform products is a brand-new feature. It’s perfect for usage while launching a firm, testing prototypes for developers, or even for simple public applications like static websites with limited bandwidth.


Amazon offers two free models: one that is perpetually free and the other is free for the first 12 months. When compared to Google, the first option lacks some features, such as virtual machines, which are only included in the 12-month free deal.

However, the machines you receive from AWS during the free 12-month period are a little more powerful than those provided by Google, have 1GB of RAM, and support Windows Server instances. Windows Server images are charged separately with Google.

Additionally, the free AWS layer without a contract excludes bandwidth (available only in the 12-month offer, which also includes 15 GB of bandwidth, added to all services used). However, you receive 4,000 Step Functions in addition to up to 1 million free AWS Lambda queries each month, which can be used to develop straightforward apps.

At the AWS level, there are additional excellent development tools like AWS CodeBuild, CodeCommit, and CodePipeline. They are all, however, time and resource constrained; for instance, CodeBuild only permits you to use it for 100 minutes each month.

Access to any of AWS’s machine learning or artificial intelligence (AI) APIs, such as Amazon Rekognition, Polly, or Lex for object identification, text conversion, and conversation, is not included in the no-term free tier.

Additionally, their starting costs are quite affordable; Rekognition, for instance, starts at $1 for every 1,000 photos. A few free deals are available from Rekognition and Polly, however, they only last for the first year following membership.


Additionally, Azure offers free credit to new users and a free service tier. But just like Amazon, the free tier does not offer computing or bandwidth. Instead, you get a variety of inferior goods, many of which are intended as prizes for higher-level players.

Reduced app development and planting in the free litter are still feasible. You can have up to five Visual Studio Team Services users with free basic access to version control and continuous integration, while the App Service offers up to ten free apps.

As long as you pay for the actual traffic, it is feasible to obtain virtual networks for no additional cost. The free tier offers up to 500,000 directory objects without charge if you use Azure Active Directory.

Azure Machine Learning Studio offers some free, production-restricted layer options for machine learning resources, but you only receive 10GB of storage, 100 modules at most, and an hour of execution time for each experiment.

Additionally, there is no SLA on the Studio’s free layer, so there are no assurances that whatever you run on it will be finished in a timely manner.

The three free-tier options are suitable for those of you who are just beginning your adventure and wish to test the use of the cloud. Your organization must decide which one is appropriate for your project in order to dispel any uncertainty about which cloud is the best choice for your company.

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