Cloud-based services is a term that refers to applications, services, or assets that are made available to users on demand over the Internet from the servers of a cloud computing provider. Businesses often use cloud-based services as an approach to push the envelope, improve functionality, or include additional services without committing to potentially expensive infrastructure expenses or augmenting/training existing internal support staff.

Competition is very high in the public cloud space in general, as providers increasingly cut costs and offer new features. In this blog, we will learn about the competition between Amazon Web Service (AWS), Microsoft Azure, and Google Cloud Platform (GCP). AWS is competitively as strong as GCP and Azure. Let’s compare 3 of them and get better knowledge about them.

1) Calculate
Amazon Web Services (AWS): Amazon Web Services (AWS) – Provides Amazon’s core and basic computing services and allows users to host virtual machines using preconfigured or custom machine images. Select the size, power, memory limit, and number of virtual machines, and choose from different regions and accessibility zones within which to boot. EC2 enables load balancing and autoscaling. Load balancing distributes the loads across instances for good performance and auto scaling allows the user to scale automatically.

Google Cloud Platform (GCP): Google introduced its cloud computing service in 2012. Google also allows the user to launch virtual machines on AWS in regions and availability groups. Google has included its own specific improvements, such as load balancing, extended support for operating systems, live relocation of virtual machines, faster persistence disk, and instances with more cores.

AZURE: Microsoft also launched its services in 2012, but only as a preview, but in 2013 they are available to the general public. Azure provides virtual hard drives that are the same as AWS virtual machines.

2) Storage and Databases
AWS – AWS provides temporary storage that is allocated once an instance is started and destroyed when the instance is terminated. It provides Block Storage that is comparable to virtual hard drives in that it can be attached to any instance or kept separate. AWS also provides object storage with its S3 service and AWS fully supports non-SQL and relational databases and Big Data.

GCP: Similarly, it provides both temporary and persistent disk storage. So for object storage, GCP has Google cloud storage. As a big query, table and Hadoop are fully compatible.

AZURE – Uses Microsoft’s temporary storage option and block storage option for volumes based on virtual machines. Azure supports relational and NoSQL databases as well as Big Data.

3) Pricing Structure
AWS – Amazon Web Services charges customers by rounding up the number of hours, so the minimum usage is one hour. Therefore, your instances can be purchased using any of three models:
On Demand: Customers pay for what they use.
Reserved: Customers reserve instances for 1 or 3 years with an upfront cost based on usage.
Spot: Customers bid for additional available capacity.
GCP: Google’s cloud platform charges for instances by rounding up the number of minutes used, with a minimum of 10 minutes. Google has just announced new sustained usage pricing for cloud services that offer a simple and flexible approach to Amazon Web Services instances.
AZURE: Azure charges customers by rounding up the number of minutes used on demand. Azure also offers discounted short-term commitments.

Conclution:
Cloud-based services are changing the way different departments buy them. Companies have a wide variety of paths to the cloud, including infrastructure, applications that are available through cloud providers as services. Youngbrainz InfoTech provides all solutions for Amazon Web Services, Google Cloud Platform or AZURE so you can find the best cloud services in one place.

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