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If you’ve decided to choose the cloud platform with good reason it is imperative to understand which cloud service will give you the best bang for your buck. Statistics show that with so many valid reasons, many businesses already choose cloud computing to take benefits in different ways.
Here’s a look about AWS vs Microsoft Azure vs Google Cloud based on the Computational power, data analytics, storage, network, and pricing.
The central AWS computing service is Elastic Compute Cloud (EC2) and it has become a synonym for on-demand scalable computing. Using AWS, you can use 7 different instance families, 38 instance types along with regional support and zone support at the same time.
The heart of Microsoft Azure computing is Virtual Machines and Virtual Machine Scale Sets, which is used for processing. Using Azure, you can use 4 different instance families, 33 instance types with regional support. Zone support is not provided.
For running computing processes, Google Cloud Platform uses Compute Engine. Using Google Cloud, you can use 4 instance families, 18 different instance types along with regional and zone support.
The option you choose solely depends on your needs. If you require an instantly scalable, flexible solution, AWS is the best option. If you are concerned about price and do not need the extra flexibility, GCP will work well. If you’re looking at computing processes for both mobile and web apps, AWS’s Elastic Beanstalk or GCP’s App Engine is a choice in order to reduce the cost of EC2 and Compute Engine. Remember if you are working on Microsoft systems, Azure allows the deployment of Windows Client apps through a RemoteApp service.
Compared to all, AWS is the clear front-runner with its computational power.
When it comes to data analysis, AWS has created QuickSight to help businesses to discover patterns and make precise outcomes to spot opportunities from the data you’re receiving.
In the field of data analytics, Azure doesn’t have a specific offering in these areas.
With most advanced business-friendly offering Google leads the way like BigQuery, Cloud DataFlow, CloudDataproc, and so on.
In this instance, Google Cloud Platform is probably a wise choice if you’re looking for a high level of data analytics. However, AWS will serve you at its best if you just want to keep track of your daily business.
AWS offers AWS Simple Storage Service, known as S3. Though AWS has no official backup service, it provides Glacier as an archiving service for longer-term. AWS cloud consulting services extends full support to relational, NoSQL databases and Big Data.
Azure avails temporary storage (D drive) and Page Blobs- a block storage option from Microsoft as a storage alternative to its users. Azure uses Block Blobs and File Serve for Object storage. Using Windows Azure Table and HDInsight, Azure supports both relational and NoSQL databases and Big Data.
Both temporary storage and persistent disks option are provided by GCP as a storage alternative. For Object storage, Google cloud offers a Google Cloud Storage and it supports relational databases through Google Cloud SQL. Google’s Nearline offers archiving service just as Glacier, it lacks latency on recovery.
Choosing the right one depends on what is most important to your business to meet your current/future needs. If it is an abundance of options and services, AWS as it has a very long-time reliable service and support. Azure and GCP have less extensive offerings at a cheaper price but they can’t out-perform AWS.
Amazon offers Virtual Private Clouds (VPCs) that allows users to collate VMs into isolated networks in the cloud. With VPC you can create your VPN and set your network topology, create subnets, route tables, even private IP address ranges, and network gateways. On top of that, you can use Route 53 to have your DNS web service.
In a similar way, Microsoft Azure offers a solid private network, Virtual Network (VNET). VNET allows you to set your VPN, have public IP if you want, and use a hybrid cloud, firewall, or DNS.
Google Cloud Platform’s offering is not as extensive. Google Compute Engine instance belongs to a single network that helps in defining the address range and gateway address for all instances connected to it. Users can apply Firewall rules to an instance, and it can receive a public IP address.
On this section, AWS wins because it has the most reliable DNS provider.
AWS charges are rounded by the hourly usage and use three payment models:
Pay-as-you-go: need to only for the resources and services as you use
Save when you reserve: You reserve instances for 1 to 3 years and pay based on utilization
Payless by using more: Take the benefit of unused capacity by bidding with others for additional space
Azure charges per minute, by rounding per commitments. Compared to other platforms Azure pricing models aren’t flexible. Sustained use pricing is created to enable discounts in the case of on-demand use if a particular instance is used for a larger percentage of the month.
Similar to Azure Google cloud also charge per minute, rounding in 10 minutes per period. In addition to on-demand charging, GCP offers sustained use discounting, which means that you will get a discount for regular usage.
It’s bit tricky and you can estimate costs with the pricing calculator offered by each platform.
