Analysis of the Comparison of Selective Cloud Vendors Services

Abstract

Cloud computing refers to a location that allows us to preserve our precious data and use computing and networking services on a pay-as-you-go basis without the need for a physical infrastructure. Cloud computing now provides us with powerful data processing and storage, exceptional availability and security, rapid accessibility and adaption, ensured flexibility and interoperability, and time and cost efficiency. Cloud computing offers three platforms (IaaS, PaaS, and SaaS) with unique capabilities that promise to make it easier for a customer, organization, or trade to establish any type of IT business. We compared a variety of cloud service characteristics in this article, following the comparing, it's straightforward to pick a specific cloud service from the possible options by comparison with three chosen cloud providers such as Amazon, Microsoft Azure, and Digital Ocean. By using findings of this study to not only identify similarities and contrasts across various aspects of cloud computing, as well as to suggest some areas for further study.

Full text

International Journal on Cloud Computing: Services and Architecture (IJCCSA)
Vol. 12, No. 2/3/4/5/6, December 2022
DOI: 10.5121/ijccsa.2022.12601 1
ANALYSIS OF THE COMPARISON OF
SELECTIVE CLOUD VENDORS SERVICES
Rehnuma Tasnim, Afrin Akter Mim, Salman Hasan Mim, Md. Ismail Jabiullah
Department of Computer Science & Engineering,
Daffodil International University, Dhaka, Bangladesh
ABSTRACT
Cloud computing refers to a location that allows us to preserve our precious data and use computing and
networking services on a pay-as-you-go basis without the need for a physical infrastructure. Cloud
computing now provides us with powerful data processing and storage, exceptional availability and
security, rapid accessibility and adaption, ensured flexibility and interoperability, and time and cost
efficiency. Cloud computing offers three platforms (IaaS, PaaS, and SaaS) with unique capabilities that
promise to make it easier for a customer, organization, or trade to establish any type of IT business. We
compared a variety of cloud service characteristics in this article, following the comparing, it's
straightforward to pick a specific cloud service from the possible options by comparison with three chosen
cloud providers such as Amazon, Microsoft Azure, and Digital Ocean. By using findings of this study to not
only identify similarities and contrasts across various aspects of cloud computing, as well as to suggest
some areas for further study.
KEYWORDS
Cloud Computing, Trending Cloud Providers, cloud Service feature.
1. INTRODUCTION
Cloud Computing is being lauded as the next-generation shift that combines the internet and
computing, allowing software, material and data to be kept on remote servers that are accessible
via the web from anywhere in the world by computers, phones, and televisions, etc. Needless to
mention, cloud computing isn't a replacement idea. Indeed, John McCarthy a computer pioneer,
predicted, in 1961 that Count would one day be organized as a public-service corporation, and
went on to invest in how it could happen. With the passage of your time, we have a brand new
have to analyze huge data, thus motivating a greatly increased demand for computing. The field
of cloud computing has seen enormous growth in recent years, with a variety of cloud providers
emerging. Some providers have concentrated on the computing elements, offering end-users
services such as CPU, storage, databases, and networking. Cloud computing is a pricing
mechanism that is based on the quantity and duration of services or resources used. Cloud
computing offers a wide range of cloud-based services. All clouds have different features, storage
capacities, billing systems and different methods to produce the services from other clouds.
Differing kinds of service models like Infrastructure-as-a-Service (IaaS), Platform-as-a-service
(PaaS) and Software-as-a-service (SaaS) are supported.
All of those approaches had drawbacks, such as high infrastructure costs or inefficient resource
consumption. Cloud computing gives people a better option. It consists of big data centers with a
collection of tightly coupled resources. The needs of the end-user are met by dynamically
regulated resources. Similar to conventional utilities, Consumers can use computing resources

International Journal on Cloud Computing: Services and Architecture (IJCCSA)
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2
from a large pool of resources. The recent problem is that folks don't seem to be aware that which
cloud is suitable and consistent with their requirements, they can’t ready choose the suitable
cloud for or their services among the various clouds managed by different cloud providers.
Various cloud computing service companies have emerged over time. Over the last few years,
cloud computing has been the subject of significant research, with a range of concerns being
debated. Security, privacy, energy management, virtualization, and data management are just a
few of the topics being debated. These providers provide various deployment schemes and repair
models. Realizing this issue, this research paper conducts a comparative analysis of the current
major cloud computing providers. A comparative analysis of various service providers is then
provided.
2. RELATED WORK
This study conducted completely highlights the attempts from the standpoint of next-generation
cellular networking, as well as the open research areas to gain the maximum value from the
combination of telecommunication and cloud computing.[2] This paper's comparative results
show that the features of each cloud storage system play a significant role in the decision-making
process when switching to cloud services.[3] From an economic standpoint, this paper compares
several cloud service providers. It computes the costs of services offered by providers in various
circumstances.[4] They give a measuring analysis of three main Personal Clouds in this paper:
DropBox, Box, and SugarSync. They investigated key components of Personal Cloud storage
services in order to define their performance, with a focus on data transmissions. [6] Researchers
demonstrated Cloud computing from several perspectives, including definitions, characteristics,
and technology. They've depicted a number of representative platforms for Cloud computing. [7]
The benefits and drawbacks of cloud computing, cloud storage systems, and infrastructure built
using web services like Amazon Web Services are discussed in this article.[8]. They highlighted
continuing work on a heterogeneous ocean research platform based on modern decentralized
computer and networking architecture.[13] The purpose of this paper is to investigate Microsoft's
Windows Azure technology as well as commonly utilized servers.[14]
3. AN OVERVIEW OF CLOUD MODEL AND PLATFORM
Simply interpretable that instead of storing a file in a local device or computing in a physical
workplace, cloud computing allows you to save any file or access it through the internet and
make it secure, reliable and scalable. Basically, the cloud computing model is divided into two
categories. They are the development model and the service model, each model also has four
categories. Here is a brief of them sequentially.
3.1. Cloud Deployment Model
1) Public cloud: It is accessible and usable for everyone. Public clouds operate in the local
network and anybody can access them for their regular needs. It is mainly used to connect
globally.
2) Private cloud: It’s only accessible by a required company or an organization. A private cloud is
secure to use and owned by a single organization or a person which is mainly for high-security
purposes.
3) Hybrid cloud: Basically it refers to all the functionalities of both public cloud and private
cloud into a system named a hybrid cloud. When a company or organization needs all the
qualities of both private and public cloud then it’s very helpful to use. The private cloud makes
the organization secure and the public cloud shares the content and activities of the organization
with the customers.

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4) Community cloud: When a joint organization needs to exchange its data effectively then it’s
the perfect solution to exchange their data by using the community cloud. Bank organization is
the best example of it.
3.1.1. Cloud Service Model
1) Infrastructure as a service (IaaS): IaaS provides the basic computing infrastructure and it’s
used only for IT administrators by allowing remote servers.
2) Platform as a service (PaaS): PaaS provides a platform where you can develop, test and
manage any kind of small or large applications by a software developer.
3) Software as a service (SaaS): SaaS provides to hosts and manages the software applications
on a pay-as-you-go pricing model. Google drive is the best example of it and it’s used by end
customers.
4) Unified communication as a service (UCaaS): UCaaS is based on a technology which is
called voice over internet protocol (VOIP). UCAS provides support for enterprise telephone,
meetings, unified messaging, instant messaging and presence, mobility, and communications-
enabled business processes. It's similar to the software-as-a-service (SaaS) model.
Table 1. A Qualitative and Quantitative Comparison table on Amazon, Azure and Digital Ocean
Points/Provider
Name
Amazon
Azure
Digital Ocean
Launched
2007
2010
2011
Data-Center
84
42
12
Services
Amount
100+
200+(divided into
18 categories)
8+
The company
take services
Facebook, Netflix,
twitch, LinkedIn,
BBC, Adobe,
Canon, Docker etc
Verizon, MSI
Computer, LG
electronics, NTT
America,
Wikimedia
Foundation, News
Crop, Intel etc
Cerberus-tech, Line-up,
Easysize, EMR-bear,
Adeva, Hact the box,
cloudways, Digital Stage,
Obo, JQuery, GitLab, etc
Global Market
Occupied
32%
21%
8%
Service Model
IaaS, PaaS, SaaS
IaaS, PaaS, SaaS
IaaS, SaaS
Server OS Type
Any OS
Windows, Linux
Windows, Linux
Feature Products
1. Amazon
EC2.(Virtual
servers in the
cloud)
2. Amazon Simple
storage.(Scalable
storage in the
cloud)
3. Amazon
1. Virtual
Machines.
(Provision
Windows and Linux
VMs in seconds)
2. Azure Virtual
Desktop. (Enable a
secure, remote
desktop from
1. Droplets. (Scalable
virtual machines)
2. Kubernetes. (Managed
Kubernetes clusters)
3. App Platform. (Get
apps to market faster)
4. Databases. (Worry-
free setup &
maintenance)

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Aurora. (High-
performance
managed
relational
database)
4. Amazon
DynamoDB.(Man
aged NoSQL
database)
5. Amazon RDS.
(Managed
MySQL,
PostgreSQL,
Oracle, SQL
Server, and
MariaDB)
6. AWS Lambda.
(Run code without
thinking about
servers)
7. Amazon
VPC.(Isolated
cloud resources)
8. Amazon
Lightsail. (launch
& manage virtual
private servers)
9. Amazon
SageMaker.(Build
,train and deploy
machine learning
models at scale)
anywhere)
3. Azure SQL.
(Modern SQL
family for migration
and app
modernization)
4. Azure Cosmos
DB.(Build or
modernize scalable
& high-performance
apps)
5. Azure
Kubernetes service.
(Deploy and scale
containers on
managed
Kubernetes)
6. Azure Cognitive
services.(add
cognitive
capabilities to apps
with APIs and AI
service)
7. App Service.
(quickly create
powerful cloud apps
for web and mobile)
8. Azure Playfab.
(everything you
need to build and
operate a live game
on one platform)
9. Azure
Functions.(execute
event-driven
serverless code with
an end-to-end
development)
10. Azure Quantum.
(jump in & explore
a diverse selection
of today’s quantum
hardware, software
and solutions)
5.Spaces.(Simple object
storage)
Solutions
Archiving,
Backup and
restore,
Blockchain, cloud
migration, cloud
operations,
containers,
content delivery,
database
migrations, data
lakes and
Application
development, Data
and Analytics,
Security and
governance, AI,
Hybrid cloud and
infrastructure,
Cloud migration
and modernization,
Internet of things,
Energy, Financial
Website hosting, Web &
Mobile Apps, Video
steaming
hosting, Gaming
development, Cloud
VPN, Bid data
computing,
Startups, SaaS
Development, Agency &
Web dev shops, Managed
cloud hosting providers

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analytics,
DevOps, E-
commerce, Edge
computing, Front-
End web &
mobile, High
performance
computing,
Hybrid Cloud
Architecture,
Internet of Things,
Machine learning,
Modern
application
development,
Remote Work,
Scientific
Computing,
Serverless
computing,
websites, Power
and utilities,
Semiconductor,
sports, etc.
*Amazon
provides 45+
solutions.
support, Media and
Entertainment,
Gaming,
HealthCare, Retail,
and Manufacturing.
*Azure provides
45+ solutions.
etc
*Digital Ocean provides
10+ solutions.
Supporting
Programming
Language
Java, python,
ruby, PHP, Node
Js, Scala Haskell,
Perl etc
C#, Java, Node Js,
TypeScript ect
Clojure, Go, Java, .NET,
iOS, Haskell, Node.js,
Perl, python, Ruby,
Scala, TypeScript
Compute
Service
EC2, AWS
Lamda, Amazon
Lightsail, Elastic
BaenStalk
Azure Virtual
Machine(VMs),
Azure Container
Service, Azure App
Service, Azure
Batch and Azure
Service Fabric
Droplets, Kubernetes,
App Platform
Storage Service
Amazon S3, EBS,
S3 Glacier, Flie
Storage
Disk Storage, Blob
Storage, File
Storage, Queue
Storage
Block Storage, Space
Storage
Networking
Services
Amazon VPC,
Amazon Route
53, Elastic Load
Balancing
Azure CDN,
Express Route,
Virtual Network,
Azure DNS
Virtual Private Cloud,
Cloud Firewalls, Load
Balancer, Floating IPs
DNS
Type of Load
Balancing
Application,
Network,
Gateway Load
Balancer
Azure Load
Balancer, Internal
Load
Balancer(ILB),
Traffic Manager
Application, Network,
Classic Load Balancer

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Kubernetes
Elastic
Kubernetes
Service
Azure kubernetes
Service
Digital Ocean
Kubernetes
(DOKS)
Algorithm
The A9 & A10
Algorithm. But
A10 Algorithm is
very similar to
A9.
It has a large library
from classification,
recommender
systems, clustering,
anomaly detection,
regression and text
analytics families
for azure machine
learning.
Elliptic Curve Digital
Signature Algorithm
(ECDSA) instead of
RSA.
Support
available
24/7, Forums,
self-help
resources,
documentation
24/7, forums, live
chats, telephonic
communications,
documentation
Automated Backups,
24/7 Real-Time
Monitoring, Q&A,
tutorial, product doc, API
doc, etc.
4. CLOUD SERVICE PRODUCT AND COST
Cloud computing provides network, compute and storage services that are simple to use and
access over the internet.
4.1. Networking Service
Cloud networking service refers to connecting the networking resources as a third-party provider.
Every cloud provider has its own networking system and it works in a certain way and is
supported by certain things. We focused only on these selective providers’ Amazon, Azure and
Digital Ocean (As mentioned) networking services. First of all, we know that networking services
mainly provide Load balancer, Support IPv4 and IPv6, Virtualization Network, Content delivery
network, DNS, Private link and DDos Protection.
In computing, load balancing is a term used to refer to the act of allocating a collection of jobs
among a set of resources in order to increase overall processing efficiency. It mainly works to
improve the performance of response time. The load balancer monitors the incoming network
traffic from the clients and finds the next route request to deliver to the registered destination. It
also tracks the suitable destination to ensure the final destination to deliver the resources. There
are many types of load balancers which are mentioned below. IP(Internet Protocol) address is
also known as a unique address. It is mainly used to identify a device. The difference between
IPv4(version 4) and IPv6(version 6) is their size. The size of IPv4 addresses is 32 bits long and
IPv6 addresses are 128 bits long.
In the table, all of these three cloud providers provide IPv4 service. For IPv6, Amazon and Azure
both supported ipv6 but Digital Ocean does not support ipv6.
Devices can share the same capabilities as a traditional physical network across multiple
locations thanks to virtual networking. This feature allows the virtualization method.
The content delivery network feature distributes the networking content in groups where the
distribution process is geographically and all of them are connected to servers. It’s mainly used

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for the fast delivery of the content for the clients in different locations which are interconnected
with the servers globally. DNS (Domain Name System) is a hierarchical distributed database that
lets you store and look up IP addresses and other data by name and Amazon, Azure and Digital
Ocean all provide Domain name system services.
In this table, some features are given by the selective cloud providers.
Table 2. A Comparison table on Networking Services
Features
Amazon
Azure
Digital Ocean
Load Balancer
Yes
Yes
Yes
Types of Load-
Balancer
1.Classic Load
Balancer,
2.Network Load
Balancer(NLBs),
3.Application
Load
Balancer(ALBs),
4.Gateway Load
Balancer(GWLBs
)
1.Azure Traffic
Manager,
2.Azure Load
Balancer,
3.Azure
Application
Gateway,
4. Azure Front
Door
1.Resize Load
Balancer,
2. Scale Load Balancer
Support IPv4 &
IPv6[2]
Yes
Yes
No
(Don’t Support IPv6)
Virtual Network[3]
Yes
Yes
Yes
Content Delivery
Network
Yes
Yes
Yes
Provide DNS
Yes
Yes
Yes
Provide Private
Link
Yes
Yes
No
DDos Protection
Yes
Yes
No(Cloud Flare)
4.2. Compute Service
Computing Services refers to all information technology and computer systems (including
software, application service provider services, hosted computing services, information
technology and telecommunication hardware, and other equipment) related to the transmission,
storage, maintenance, organization, presentation, generation, processing, or analysis of data and
information, whether in an electronic or non-electronic format, whether in an electronic or non-
electronic format. We focused on the top three cloud providers in this paper: Amazon, Azure, and
Digital Ocean. All of these companies offer a variety of computer services to their clients. As a
result, we select one computing service from each of these cloud providers. We use AWS Lamda
for Amazon, Azure VM for Azure, and Kubernetes for the Digital Ocean. In this table, we
compare these computing services based on a variety of factors such as their billing system,
working method, supported languages, and more.

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Table 3. A Comparison table on Compute Services
Features
AWS Lamda
Azure_VM
Kubernetes
Automatic
Scaling
Scaling is done
automatically on the
size of the workload.
It scales the
application running
the code in response
to each trigger. The
number of requests
that a client's code
can process is
limitless. Within
milliseconds of an
incident, AWS
Lambda typically
starts running your
code. Because
Lambda scales
dynamically,
efficiency remains
stable as the a
number of events
grows.
Azure Virtual
Machines (VM) is
one of several forms
of scalable, on-
demand computing
resources offered by
Azure. An Azure
VM gives you
virtualization
flexibility without
the need to purchase
and maintain the
physical hardware
that runs it.
To enable autoscaling
on an existing node
pool,
navigate to cluster in
the Kubernetes
section of the control
panel. using
Autoscaling in
Response to Heavy
Resource. A
walkthrough that
builds an autoscaling
cluster and
demonstrates the
interplay between an
HPA and a CA.
Billing
Pay only for the
code running time
Pay only for what
you use
Pay-as-you-go
payment mechanism
Supported
languages for
computing
C#, Java, python,
ruby, PHP, Node Js,
Scala Haskell, Perl
etc
C#, Java, Node Js,
TypeScript , Run
time SQL Server,
SPA , Oracle ect
Clojure, Go, Java,
.NET, iOS, Haskell,
Node.js, Perl, python,
Ruby, Scala,
TypeScript
Customer
Coca Cola,
Benchling, Stedi, etc
Sentara, Pearson,
Canadian Imperial
Bank of Commerce,
Accela,
Forever21
Line-Up, Batch, Kea,
Adeva, Zuar,
CloudWays etc
Service Model
Over 200 AWS
Services and SaaS
application
serverless compute
service
PaaS
IaaS
Back-up
AWS offers a
framework for
server-less
computing called
AWS Lambda.
Lambda facilitates
the development of
event-responsive,
Backup Storage is
an auto-scaling,
reliable set of
storage accounts
managed by Azure
Backup and isolated
from customer
tenants to provide
Kubernetes Backup is
a data protection
solution for vessels
assigned as a
Kubernetes cluster.
Kubernetes backup
applications can
completely back up

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on-demand apps.
Without needing to
manage any
additional
infrastructure, you
may create your own
backup routines. It's
the perfect
computing
environment for
running code and
establishing
acompletely
automatic backup
system.10:40 PM
additional security.
Charges for storage
are separate from
the cost of Azure
Backup Protected
Instances.
all files in containers,
incremental backups,
or differential
backups. It is best to
run the Kubernetes
backup software
frequently and
periodically to protect
files, configurations,
and constantly
changing data.
4.3. Storage Service
Traditional network storage and hosted storage are essential to the advancement of cloud storage.
The benefit of cloud storage is that you may access your data from anywhere. Cloud storage
services can store everything from a single piece of information to an entire company's
warehouse. Customers will pay the cloud storage provider based on what they use and how they
transmit data to the cloud. Essentially, the cloud storage client replicates the data to any of the
cloud storage providers’ data servers. Duplicates of data are provided on all or opposite data
servers of cloud storage providers so that there is redundancy in availability which ensures that
even if something goes wrong the customer's data is protected. Most of the systems store
identical data server that uses different power supplies. Because of the rapid development of data
and the need to keep it more secure and longer, businesses must integrate how they handle and
use the information from the moment the information is created until it is destroyed. We now
have the option of storing all of our data on the Internet. Third parties provide and manage this
off-site storage over the Internet. Cloud Storage implies that a big pool of storage was available
for use with three distinct features: access via the Web Services API over a shaky network
connection, quick availability of enormous amounts of storage, and payment for what you use. It
supports fast scalability. Cloud storage is an offer of cloud computing. Amazon Web Services,
Azure, and Digital Ocean offer many storage tools, but it's not clear which one is best for your
needs. Here's the most popular AWS storage are Amazon S3 (Simple Storage Service), Amazon
EBS (Elastic Block Store), and Amazon S3 Glacier. Azure storage is Disk Storage, Blob Storage,
File Storage, and Queue Storage. And also Digital Ocean storage is Volumes Block Storage,
Space Object Storage. We're here to give you an overview of storage, what they're designed for,
how they differ, and how to use each service.

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Table 4. A Comparison table of Storage services
Features
AWS
Azure
Digital Ocean
Storage-
related
Services
Simple Storage Service
(S3),
Elastic Block Storage
(EBS),
Elastic File System
(EFS),
Storage Gateway
File Storage
Blob Storage,
Queue Storage,
File Storage,
Disk Storage,
Data Lake
Storage
Block Storage,
Space Object Storage
Database
-related
services
Aurora,
DBS,
DynamoDB,
ElastiCache,
Redshift,
Neptune,
Database Migration
Service,
SQL,
MySQL,
PostgreSQL,
Data
Warehouse,
Server Stretch
Database,
Cosmos DB,
Table Storage,
Redis Cache,
Data Factory,
MySQL,
PostgreSQL,
MongoDB
Redis,
Memgraph,
EdgeDB,
PhpMyAdmin
Backup
services
S3 Glacier
Archival Storage
Recovery
Backups,
Site Recovery
Droplet Snapshot
(snapshot-based
backup system)
Table 4.1. A Comparison table of Storage services
Features
Amazon
Azure
Digital Ocean-
Disk Storage
Yes
Yes
No
Data Backup
Yes
Yes
Yes
Store and access
unstructured data
Yes
Yes
Yes
File storage
Yes
Yes
No
Data transfer and edge
compute
Yes
Yes
Yes
4.4. Pricing Structure
In this table, we examine pricing types and the price differences for different types of virtual
CPUs for these suppliers.

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Table 5. A Comparison table on pricing type
Amazon
Azure
Digital Ocean
Pricing
Type
Pay-as-you-go,
On-demand
Pay as you go, on-
demand per
second billing
Pay as you go pricing.
Table 6. A Comparison table on basic virtual machine cost
Virtual CPU
Amazon
Azure
Digital Ocean
1 vCPU
8.50$
7.59$
5$
2 vCPU
15.23$
15.11$
15$
4vCPU
60.91$
60.74$
40$
8 vCPU
121.50$
121.18$
80$
From the below chart, we are analysis the market growth rate from those (Amazon, azure and
Digital Ocean) cloud service providers in last previous three years. Now we are analysis the
revenue growth rate and profit growth rate in the year of 2019-2021.For Amazon, their revenue in
2021 is $469.822B, 2020 is $386.064B and in 2019 the amount is $280.522B. Amazon annual
revenue growth in the year of 2021 was 21.7% increase from 2020, for 2020-the revenue growth
was 37.62% increase from 2019 and for 2019, it was 20.45% increase from 2018. On the other
hand, Azure annual revenue for 2021 was $168.088B, a 17.53% increase from 2020. For 2020,
Azure annual revenue was $143.015B, a 13.65% increase from 2019 and the last revenue was
125.843B and revenue growth rate is 14.03%. Digital ocean annual revenue for 2021 was
$428.56M, a 34.61% increase from 2020 and in 2020 is $318.38M and its revenue growth rate
24.94% from the previous year. In 2019, their revenue was $254.82M and revenue growth rate is
25.45%. It’s not the matter of amount what you invest, it’s matter of their growth revenue
increase or not. For the comparison, Digital Ocean increases their revenue growth year by year.
Now we are discuss about the profit growth rate for these cloud providers. From the below chart,
we see that in the year of 2021, Digital Ocean’s profit rate is too much high from both Amazon
and azure. That means Digital Ocean profit huge amount of money in the year of 2021. In 2020,
Azure profit growth rate is 16.88% where Amazon and Digital Ocean Profit growth was 32.85%
and 30.39%. So we assure that Amazon And Digital Ocean’s profit growth rate looks like similar
but Azure’s profit growth rate didn’t play a vital role to compare with them and final if we can
see the in the year of 2019, Digital Ocean’s profit growth rate is as high as in 2021 year from
those cloud providers.
We know that, Digital Ocean is new in the cloud market and Digital Ocean can’t compare with
those big giant company, But Digital Ocean increases their market value and their profit growth
rate day by day to provide their best service features with a good manner. So, if we compare the
profit growth rate in last previous three years, Digital Ocean take places in the first position, then
2nd one in Amazon and last one is Azure.

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Figure 1. Profit Growth
Figure 2. Revenue Growth
5. ANALYSIS OF THE COMPARISON ON AMAZON, AZURE AND DIGITAL
OCEAN
The analysis of the above comparisons shows the following result: Amazon and Azure deliver
Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS),
whereas DigitalOcean provides Infrastructure as a ser Service (IaaS). AWS and Azure are better
for large scalable applications, whereas Digital Ocean is better for developers and tiny apps.
Digital Ocean, mainly suitable for small developers and modest enterprises who need to rapidly
set up a small high-performance instance, is its target market. Even still, when it comes to VM
performance on the two platforms, Amazon is being beaten by the scrappy rival. Each provider is
the best for a variety of different tasks. But overall DigitalOcean is best in terms of VPS
Performance based on network speed, CPU usage, web server capacity, CPU-intensive operation
rate, and Sequential read/write rates in our selective three cloud providers. [18]
So simply says that “Digital Ocean is not really an Amazon and Azure competitor”. But in their
continuous triangle pricing battle, Amazon, Microsoft Azure, and Digital Ocean are as
formidable as ever. If you expect a lot of data outflow, you should search for companies that offer
a substantial provision rather than those that charge by the GB. This is particularly true when data
transmission is not interzonal. Unfortunately, all three cloud companies fail to convey relevant
subscription information in a logical manner, resorting to price structure obfuscation that borders
on nonsense (though Microsoft is a bit better than Amazon and Digital Ocean in this regard).
And, while their cloud products may differ in various ways, Amazon's information page appears
positively byzantine when contrasted with Digital Ocean's no-nonsense approach.

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Table 7.
FEATURE
AWS
AZURE
DIGITAL OCEAN
Cost
Depending on the
networking, hardware,
and software options
selected, AWS prices
are calculated using a
pay-as-you-go basis.
AWS customers can pay
for a single virtual
machine or computer
cluster. In terms of
subscriptions, Amazon
offers protection for the
purchased systems.
Cost-wise, Microsoft Azure is
comparable to AWS. There are
various use cases where Azure is
more cost-effective compared to
AWS. However, Google Cloud is
less expensive than AWS and
Azure. There is currently no
uniformity among cloud service
providers; no two cloud service
providers provide the same price
in the same manner.
Digital Ocean is far
less expensive and
more accessible than
AWS and Azure. The
development time and
expenses are decreased
since it is simple and
quick to set up. This is
a wise decision for
new businesses.
Payment
system
Credit cards and debit
cards
credit cards, debit cards, and
check wire transfer
Credit cards and
paypal
Target
Audiences
The AWS system is
available to anyone who
requires a significant
quantity of hardware.
AZURE system is good for start
up also for big companies
Developers of small-
scale applications are
the focus of
DigitalOcean.
STRENGTH
AWS is a market leader
in the bulk of cloud
solutions offered
globally and holds the
biggest market share in
both IaaS and PaaS.
More often than any
other cloud provider,
large companies deploy
mission-critical
workloads to Amazon.
The firm also has a
strong network of
managed service
providers. More often
than any other cloud
provider, large
companies deploy
mission-critical
workloads to Amazon.
Strong managed service
provider network exists
at the organization.
Because the corporation offers so
many service options, Microsoft
Azure has a wide range of
applications. Azure's capabilities
are further increased via
agreements with Oracle,
VMware, and SAP. With 32
partners, Microsoft Azure has a
sizable managed service provider
network.
Virtual private servers
are a subset of the
servers offered by
DigitalOcean. They
have less computer
capability than the
physical structure but
provide an interface
powered by the Linux
operating system. The
company's success
was attributed to the
machine's great
storage efficiency and
cheap cost of input for
user hardware.
Weakness
and
challenges
Although stated price
cuts, several services,
such as the AWS
computing service, have
remained the same in
cost for a long time. If a
The cost of Microsoft support is
high. Additionally, compared to
other cloud service providers,
Microsoft Azure has a lower
percentage of availability zones.
Improvements to service
There are no cloud
computing instances
with GPUs available
from DigitalOcean.
useful for training in
data sciences, AI, and

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client is dependent on
Amazon products, it
could be difficult to
migrate to a different
service provider because
AWS focuses on their
finest cloud services.
Utilizing fewer acquired
services, which is
sometimes difficult and
time-consuming to re-
engineer and optimize,
is another difficulty.
Overall costs for AWS
services are reasonable,
but if they aren't
managed, they might
become quite costly.
accessibility and initiatives for
adaptability reconfiguration are
still possible, nevertheless.
Additionally, Azure doesn't
provide any capacity guarantees
to its customers, including those
for which was before contracts
and reserved instances.
machine learning. Like
AWS and Azure, they
don't provide as many
services. SSH host
keys may cause
security problems.
employs RAID-based
local storage rather
than a SAN
Comparing
DigitalOcean to AWS
and Azure, it has less
regions.
Benefits
With a strong track
record of client success
spanning from small and
medium-sized
organizations to big
enterprises, AWS is the
most experienced and
enterprise-ready
supplier. Being early
users of new services
constantly pays off for
businesses that use
Amazon. Users may test
out more than 100 items
from Amazon Web
Services without cost.
The business offers a
selection of always-free
database, developer, and
mobile tools and
services. Additionally,
AWS provides brief free
trials for ML, analytics,
computing, security, and
compliance as well as a
1-year trial for some
goods.
For businesses utilizing Microsoft
services, Azure is a particularly
good fit. Microsoft Azure is a
major player across all use cases
and consistently delivers services
in the cloud. This includes edge
and all-encompassing cloud
services, in which other cloud
suppliers are less skilled. For 30
days, new customers of Microsoft
Azure are given a $200 credit.
Digital Ocean is
ideally suited for
developers, small
businesses, and apps.
They benefit from the
best price and quickest
server installations.
Physical security is
provided by
DigitalOcean in their
data facilities, which is
beneficial. To avoid
unwanted infiltration,
these centers have
secure infrastructure
that is insulated from
physical harm.
DigitalOcean should
be your choice if you
want a MySQL
instance.
6. CONCLUSIONS
This paper provides an overview of the cloud functionalities provided by major service providers.
We compare the most popular cloud providers, including Amazon, Azure, and Digital Ocean.
This document explains the many sorts of disparities between these providers in terms of various
attributes. This study focuses on the primary services provided by various cloud providers, such
as storage, computation, and network services. Data storage, servers, databases, networking, and
software, as well as other tools and applications. are some examples of the resources. In recent

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years, any commercial organization has shifted its operations to the cloud, which has shown to be
profitable and attracted the interest of many others. The information gathered in this research
paper will help cloud customers choose the significant cloud provider according to their needs as
well as the services provided by the selected cloud provider.
7. FUTURE WORK
This paper enhances in our understanding of cloud services. Despite the fact that we did not
discuss the security provided by these cloud providers. In the future, we plan to expand our
analysis to include more elements, such as how service providers replicate data and identify some
of the top security dangers associated to cloud data, with data loss being the most serious security
concern. Cloud computing will be one of the most in-demand occupations in software
development, with implications for cloud infrastructure security. Industry lacks the necessary
skills to ensure integrity, which is a serious worry. The shortage of trained cyber security
specialists is a moderate to significant worry for 93 percent of business.[17]
ACKNOWLEDGEMENTS
We, the authors of this paper, would like to express our gratitude to our mentor, for his assistance
in completing this research. And thanks to my university Daffodil International University,
Bangladesh for support.
REFERENCES
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Computing. Science, 53, 07-013.
[2] Das, Piyali & Mitra, Rupendra. (2016). A survey on cloud computing and networking in the next
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[4] Islam, Noman & Islam, Zeeshan. (2017). An economic perspective on major cloud computing
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[5] https://aws.amazon.com/lambda/?nc2=h_ql_prod_fs_lbd
[6] Gracia-Tinedo, Raúl & Sánchez-Artigas, Marc & Moreno-Martínez, Adrián & Cotes Gonzalez,
Cristian & López, Pedro. (2013). Actively Measuring Personal Cloud Storage. IEEE International
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[8] Bandaru, Avinash. (2020). AMAZON WEB SERVICES
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[10] https://azure.microsoft.com/en-us/services/ddos-protection/#overview
[11] https://www.digitalocean.com/resources/cloud-performance-report
[12] https://www.upguard.com/blog/digitalocean-vs-aws
[13] Patrikalakis, Nicholas & Abrams, Stephen & Bellingham, James & Cho, Wonjoon & Mihanetzis,
Kostantinos & Robinson, Allan & Schmidt, Henrik & Wariyapola, Pubudu. (2000). The Digital
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[15] https://www.geeksforgeeks.org/aws-lambda-copy-object-among-s3-based-on-events/
[16] Chnar Mustafa Mohammed & Subhi R.M Zeebaree, 2021. "Sufficient Comparison Among Cloud
Computing Services: IaaS, PaaS, and SaaS: A Review," International Journal of Science and
Business, IJSAB International, vol. 5(2), pages 17-30

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[17] https://www.cybersecurity-insiders.com/portfolio/2022-cloud-security-report-isc2/
[18] https://www.bunnyshell.com/blog/aws-google-cloud-azure-digitalocean-vps-performance
AUTHORS
Rehnuma Tasnim. Currently, is pursuing her B.S.C in Computer Science in Computer
Science and Engineering from Daffodil International University, Dhaka, Bangladesh.
She and her team presented their first paper at the International Conference on IoT,
Cloud and Big Data. Her areas of research are Computer networks, cloud
infrastructure, IoT, Machine learning, and Big Data.
Afrin AkterMim. Currently, is pursuing her B.S.C in Computer Science in Computer
Science and Engineering from Daffodil International University. She and her team
presented this paper at the International Conference on IoT, Cloud and Big Data
(IOTCB 2022). Her areas of research are Computer networks, cloud infrastructure,
Machine learning, and Deep Learning.
Salman Hasan Mim is pursuing his B. Sc in Daffodil International University. His
strength is his attitude and he likes to take on challenges. He and his team presented this
paper at the International Conference on IoT, Cloud and Big Data (IOTCB 2022). His
areas of research are Computer Networks, Network Security, IoT, Operating Systems
and Distributed Computing.
Professor Dr. Md. Ismail Jabiullah is currently a Professor at the Department of
computer science engineering, Daffodil International University, Dhaka, Bangladesh.
He received his B.sc (Hons) and M.sc in Mathematics with first-class from Dhaka
University and also an honors scholarship from Dhaka University. He obtained a Ph.D.
in Computer science and engineering. His research area is Network Security, Web
Security, Software Security, Internet Security, Image Processing, Computer Vision,
Wireless Network, Cellular Network, Satellite Network, Artificial Intelligence and
Neural Networks, Software Testing, Machine Learning, and Deep Learning. He has
published 27 books 78 International journal papers and 105 conference papers.