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Find the Best Cloud Platform for your business or organization

Currently Cloud market is filled with;

  • Amazon Web Services
    Microsoft Azure
    Google Cloud
    IBM Cloud
    Alibaba Cloud
    Oracle cloud
    Tencent Cloud


AWS has 33% of the market,
followed by Azure at 18%,
Google at 9%,
Alibaba Cloud 5%
IBM cloud 5%
Salesforce 3%
Tencent 2%
Oracle 2%
But predominantly three major players control the market and the cloud 3 platforms is being analyzed.
Amazon AWS is the market leader in cloud market, that does not mean it is for everyone. All the 3 top cloud platforms namely AWS, AZURE, GCS specializes in certain areas. unless those aspects are taken into account final choice cannot be made.
It is a cloud service for enterprises. its resources are useful to processing multiple treads, scaling high volumes of transactions.
One thing which is again and again proved is the Amazon shopping festival, where the services never fail due to the high volume of transactions on a single day.
- Dominates the market
- Has a large Platter to offer
- Supports Large Corporates
- Reach across Geography
- Tough to handle
- Cost management is a tough challenge
- Too many options to get confused
Microsoft Azure
It is more into Software services in cloud. supporting retail businesses and IOT. IT has gained deep inroads into IOT which will be a most wanted cloud services in the 5G era.
It has various tool to create, manage, setting up sensors. Its offer on RTDA - Real time data analytics, machine learning and insight processing is something phenomenal
- Second largest cloud provider
- Integration with Microsoft tools give a feather in its cap
- Broad features
- Hybrid cloud
- Support for open source
- Availability of services to prove always-ON
- insufficient management tools
Google Cloud
It's very attractive especially to start-up companies. It offers one of the best AI tools available
- Designed for SME and Start-up business
- deep discounts in pricing
- flexible approach
- few services in the plate
- not enterprise focused.

Challenges in different cloud platforms
Amazon Web Services
It creates unnecessary complexity in its services, though being versatile.
For startups and those migrating new to cloud are like to get confused.
The AWS operation cost calculation and prediction is bit confusing, in spite of many free tools offered.
especially in the customization for hybrid clouds it doesn't do much.
Microsoft Azure
The cloud platform has some issues caused from Azure side. It's not yet viewed as a All purpose matured cloud platform.
The communication gap between clients and Azure team is a point of concern. The guidance given to end users on Azure usage and a berocratic structure even for a bug reporting exists.
Google cloud
Late comer. It focus is primarily on Start-ups and Small business. Still a immature cloud operation when it comes to support teams working methodologies
Evaluating  the Computing
the EC2 is responsible for handling multiple instances multiple operating systems, GPU instances, scaling the and managing high work load
- It used 275+ types of instances, highest in this category. Its robust.
- Geographically well positioned across the globe
- Reliable and Robust
- Companies that adopt containers gets better support
Microsoft Azure
It supports multiple operating systems, Virtual machines, SQL servers, Oracle and other platforms.
- Security and access management is an important feature. The data storage as local and in cloud definitely helps
- It supports high number of instances. and the AI data processing is well optimized instance.
- The free tier allows Azure instances for 750 hours on B1S virtual machine
It offers custom containers based on kubernetes and docker hub
Most versatile provider of customization and documentation
Google Cloud
Its focus is not on versatility rather a computer engine that can handle instances, VM , manage data storage and tasks
Corporates will not find all requirements fulfilled here
It has a Free tier to offer. Business has access to a yearly plan
It offered simple storage, Elastic storage

Storage gateway and snowball are tools used to manage cloud storage and offline storage
Data in Amazon is managed with custom database Aurora  and Glacier is another tool used for creating and storing compressed files
Additional tools for data management include ElastiCache that stores cache information. Redshift for warehouse data storage, Neptune for graphic files, and other tools.
Azure stores all information using REST APIs. Big data applications works with Data Lake Store
The platform has SQL tools, MySQL, Postgresql  for Warehouse Azure uses Table storage and Cosmos DB
It offers many options for hybrid data storage. like Server stretch database.
Its backup services and site recovery tools is very robust.
Google cloud
Its offers rather a transfer appliance
the choice of database is not versatile.
The Cost of the platform is considered  high
The AWS free tools aren't one considered best to calculate prices. 
General purpose M5.Xlarge       - $0.123
Compute Optimized C5.xlarge - $0.107
Memory optimized r5.xlarge     - $0.159
GPU instances g3x.xlarge          - $0.551
Its pricing derives from multiple criteria. the tools offered to calculate pricing is not enough
General purpose B4MS         - $0.097
Compute optimized F4s v2  - $0.099
Memory optimized E4 v3      - $0.156
GPU instances NC6                - $0.572
Its a cost efficient solutions. with multiple discounts for startups. Its costs are sonsiderably lower.
General purpose n1-standard-4      - $0.128
Compute optimised n1-highcpu-4  - $0.095
Memory optimised n1-highmem-4  - $0.159
GPU instances [email protected]@P4    - $0.864
* all price given above are estimates to get an idea, take professional help to arrive at accurate price estimates
Availability of IaaS
AWS is considered more stable followed by Google and at a distance with Azure
AWS - the infrastructure experience 338 outage hours per year
Azure - experienced 1900 outage hours per year
Google cloud - experienced 361 total outage hours per year
For clients in North America, Europe, Oceania - Azure shows better latency
For clients in Asia, South America - AWS shows better latency
Who uses Who and for What?
Companies that use AWS Cloud: Facebook, Netflix, Baidu, Netflix, Airbnb, Spotify
Industry verticals : Social networks, retail, Transportation, Technology
Companies use the Backup and storage services to store main data and backups
Large corporates use for software that handles multiple process with high availability and robust support team
If you'd rather dive into Amazon's deep services framework, opt for AWS
Companies that use cloud: ASOS, HP, MBV, Boeing, Samsung, Ebay
Industries: Technology, manufacture, transportation, healthcare
If you're looking to leverage common knowledge and work within familiar function ecosystems, Azure is a great fit.
Azure is used widely by researchers in scientific fields, healthcare
its IOT toolkit is commonly used in manufacturing companies
Corporates looking for Hybrid cloud developments gets with the leader Azure
In several end use case Azure stands out
Google cloud
Companies that use Google cloud: Paypal, Coca-Cola, Snapchat, Ubisoft, Colgate-palmolive
Industries that use: Retail, communication, finance, food
Companies looking for cost effective cloud solutions opt in for Google cloud.
It has branded itself as a specialized IaaS for Start-ups and SMB's
It has come out with new AI tools
There are many aspect to consider from price to database to transactions volume  to customised solutions.
* If you are a Small and Medium sized companies or a start-up, then definitely google cloud can give you a helping hand.

* If you are an enterprise / large corporate  with manufacturing  with hybrid systems then Azure is the best option.

* If you are a web technology company, have large data storage needs and process large sets of data with robust service then the AWS is the best bet for you

None of the above is final, these views holds good today. Tomorrow if your company thinks of cost cutting in cloud services, then the scenario changes. Tomorrow if the IaaS provider improves its infrastructure and support team, then the scenario changes.
If you need suggestions, do reach the author at {[email protected]} by dropping a line for a meaningful consultation. The author has hands on experience in designing and handling large server  infrastructure.

Danish Man Geek


Geek Danish man Technology web services computer server cloud

Article comments

24 Oct 2021 at 12:53 AM

Thank you so much for the valuable information. thank form

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