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 expand the boundary, improve functionality, or include additional services without committing to potentially costly infrastructure expenses or augmenting/training existing internal support staff.
Competition is very high in the public cloud space in general, as providers increasingly reduce costs and offer new features. In this blog, we’ll 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 core computing services and allows users to host virtual machines using pre-configured or custom machine images. You select the size, power, memory limit, and number of virtual machines, and choose between different regions and accessibility zones within which to start. EC2 enables load balancing and automatic scaling. Load balancing distributes loads across instances for good performance, and autoscaling 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 enhancements such as load balancing, extended operating system support, live virtual machine relocation, faster persistence disk, and instances with more cores.
AZURE: Microsoft also launched their services in 2012, but only as a preview, but in 2013 they are available to the general public. Azure provides virtual hard disks 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 SQL-less or relational databases and Big Data.
GCP: Similarly, it provides both temporary and persistent disk storage. So for object storage, GCP has Google’s cloud storage. As a large query, the table and Hadoop are fully compatible.
AZURE – Uses Microsoft’s temporary storage option and block storage option for VM-based volumes. Azure supports relational and NoSQL databases and also 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 initial cost based on utilization.
Spot: Customers bid for additional available capacity.
GCP: Google’s cloud platform charges per instance by rounding up the number of minutes used, with a minimum of 10 minutes. Google 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.
Conclusion:
Cloud-based services are changing the way they are purchased by different departments. Businesses have a variety of paths to the cloud, including infrastructure, the applications that are made 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.