Cloud Computing vs Edge Computing. Which is Better?

Cloud Computing vs Edge Computing. Which is Better


Cloud Computing vs Edge Computing is one of the most common trends that top software development companies in India are concerned about. But, before comparing these to identify which one is the better one, if you are a beginner in this field, you need to understand what exactly these two are and how these work differently. In this blog, we are going to offer a clear understanding of these two different computing systems along with their different applications, advantages, and a comparison between these to find out the better one.

Understand Cloud Computing With Example

When we use the Internet as a cloud or virtual space to provide various computing services like storage, database, software, network, and analytics through the Internet itself, then the whole process is called Cloud Computing.

It is named ‘cloud’ because the information that we get access to, is located remotely in a virtual space. This virtual space is referred to as a ‘cloud’. Big companies for web development services (like Google/ Microsoft/ Amazon, etc) let their users store files and data on remote servers, which can be accessed anytime through the Internet.

A few services that are now so important in our daily lives like email, data storing, backup and retrieval, creating applications, testing codes, data analyzing, online streaming of video and audio, and much more are based on Cloud Computing principles.

Understand Edge Computing With Example

Edge Computing refers to a distributed model of Cloud Computing architecture, where the user’s data gets processed within a specific range of the network, closer to its originating source.

Few ranges networks and computing devices take away a part of storage and compute resources from the central data center, i.e., the cloud, and process the user-generated data near the source of that data itself. This does not require transmitting the raw data to the cloud center for the purpose of processing and analysis, rather this job is done right at the original source of the data. Only the results like real-time insights analyzed predictions, and actionable decisions are sent to the supreme cloud data center for review.

Some devices that are non-negotiables in our daily lives like smart watches, smart speakers, smartphones, and smart TVs, (also self-driving cars) work on Edge Computing models.

Difference between cloud and Edge Computing 

There are some fundamental differences between Cloud Computing and Edge Computing that you need to know if you are thinking of using these in your mobile app development company or anywhere. Presenting them here for your understanding-

Difference between cloud and Edge Computing 

Latest use cases of Cloud Computing  

You can observe the application of Cloud Computing around the world. Here, we are presenting some of the most significant ones-

  • Data Storage and Processing: The most common use of Cloud Computing that you observe on a daily basis is for data storage and processing. The storage of your smartphone can be 256GB, but you will need more storage when it’s full. In that case, Cloud Computing works as your digital warehouse where you can save a large amount of data in a hassle-free manner. Businesses that have to work with large data sets find Cloud Computing to be extremely helpful. E-commerce businesses can effortlessly store or manage data of tons of customers with the help of Cloud Computing.
  • Business applications: If you are a business owner or an employee in an office you know how convenient it can be if all of your work-related operations can be done through a single platform. Cloud Computing provides the opportunity to do so by helping to develop a digital workplace that you can access remotely. Collaboration among teams and between the employees and management becomes a piece of cake through a super organized digital office boosting teamwork and efficiency. Imagine that you are sitting in India and working with a client from the US, it’s super convenient through Cloud Computing.
  • Helping AI & Machine Learning: Cloud Computing platforms work like superhero headquarters for innovative technologies like AI and Machine Learning. For AI and Machine Learning to work properly to automate your business or operations, conduct analysis, and develop reports, super smart algorithms need to be trained. Cloud Computing provides them with the required computational power that they need. Consider that you are running a healthcare institute and you need to do predictive analysis to develop personalized treatment plans. Cloud Computing will come to your rescue to operate the whole process efficiently along with presenting the required analysis reports that you will need.

Latest use cases of Edge Computing  

The applications of Edge Computing are also everywhere, you just need to identify where. Here, we are listing out some of its applications for you to understand more clearly how this works.

  • Smart IoT Devices: In the world of smart devices, Edge Computing is the new hot thing (Internet of Things or IoT). Each gadget functions as a mini-brain that processes data on the spot. This shortens wait times and speeds up device response times. Owing to Edge Computing, your smart home appliances such as your security system or thermostat can make choices instantaneously. Quick actions and no waiting are the highlights of Edge Computing.
  • Autonomous Vehicles: Making rapid choices is essential in the case of self-driving cars. The Edge Computing system inserts the operation’s brain right in the vehicle. This implies that your automatic car does not have to wait for orders from a distant cloud to make a decision.  To understand, you can consider a car manufacturing company that uses Edge Computing to instantly assess traffic conditions. The car automatically adapts to keep you secure and operating the car smoothly.
  • Managing Smart Cities: Edge Computing is the most common standard in smart cities for effectively managing urban life. It processes information locally, enabling very quick responses and efficient use of city resources for anything from traffic signals to safety systems. Edge Computing allows a smart city to automate traffic signal regulation without needing any kind of human foresight. In response to traffic flow, the Edge Computing empowered traffic lights can change in real-time, resulting in reduced traffic and smoother travel.

Benefits of Cloud Computing  

Cloud Computing is an older model that has benefitted users for over 2 decades now. Let’s have a look at the benefits of Cloud Computing,

Enhanced collaboration and productivity

As Cloud Computing is independent of a fixed tangible place, employees can communicate with each other in real-time and remotely. The data is centralized, user location does not matter.

Unlimited storage

It enables users to store, access, and retrieve data via remote devices. This process does not involve local storage devices.

Less hardware cost

We use remote servers. As a result, the maintenance and managing charges of centralized hardware are much less.

Central provisional services

Cloud-based models can be created within a few hours. Because cloud system providers customize their pre-configured processes according to the user’s needs.

Flexibility and mobility

Users can access data from anywhere. For example, remote employees who are away from their office location can access crucial data via mobile phones stay connected with clients, and coworkers, and work on their business goals.

How Edge Computing Gets an Edge over Cloud Computing

Here we will learn about the factors that give Edge Computing an edge over Cloud Computing.


As applications and data analysis tools remain closer to the source of data, the distance that data has to travel gets reasonably reduced and thereby the time needed for that transfer. The process also reduces network congestion and increases speed and responsiveness. That’s why the service quality of Edge Computing is better.

Reduced latency

Edge Computing works in a distributed network system, unlike Cloud Computing. Edge Computing refers to a distributed model of Cloud Computing architecture, where the user’s data gets processed within a specific range of the network, closer to its originating source. The devices of the user, heavy traffic, and data processing units stay in close contact, which automatically reduces latency and promotes real-time decision-making.

Reduces Costs

Local edge data centers store and process data that allows businesses to operate IoT devices with less bandwidth. This significantly reduces the heavy costs of running centralized data centers.

Can Edge Computing replace Cloud Computing?

This is the most asked question of concerned developers from top software development companies in India and around the world. But the fact is when the question arises as to whether Edge will be able to replace Cloud services in the future, you can rest assured that this will not be the case. These two different computing models serve different needs of an organization. Edge Computing refers to local small data centers that reduce some burden off the cloud just like a regional office that deals with local computing issues rather than sending it to a central data center, i.e., Cloud which is located miles away working remotely. In the case of Cloud Computing, the expense, effort, and time of setting up an IT infrastructure gets replaced with a remote set of applications that offer the same services. Cloud Computing does the heavy lifting of the major workload. This is why it is impossible for any one of the two to replace each other, rather both are complementary to each other. 


As we explore cloud and Edge Computing, you have to keep in mind that there isn’t a single solution that is best for everyone. Every technology has its own advantages and disadvantages, and the best option will depend on the desired features of your applications as well as your company’s goals. Knowing the fundamentals of these two computing technologies enables you to make more informed decisions for your mobile app development company or any other business application. In today’s tech-driven environment, regardless of whether you choose the edge’s fast answers and large storage capacity or the cloud’s massive storage and power, understanding the areas of application is crucial.


1. Is Edge Computing better than Cloud Computing?

Edge Computing accelerates data processing by locating computation closer to the source, reducing the latency in real-time applications. Edge Computing thrives in situations where low latency is crucial, improving performance for applications such as IoT and AI at the edge. On the other hand, Cloud Computing offers scalability as well as centralized storage. The decision to select one is always based on particular use cases, with hybrid solutions getting popular day by day for the best results.

2. Is edge the same as cloud?

Cloud is a virtual IT space that stores and performs computing activities remotely. Edge Computing involves a specified network bandwidth,  electronic devices, and local data servers. The electronic devices process and analyze data near the end-user or source of raw data. Whereas the Cloud is more efficient, and powerful and works on large data, Edge is beneficial for quick decision-making.

3. Which type of Cloud Computing is best?

SaaS or software as a service is gaining popularity now. This type of Cloud Computing allows you to use a cloud-based application that is easily accessible through a web browser and API. Businesses prefer SaaS as it saves time, cost, and effort by using customizable done-for-you software. Gmail for mail service, and Hubspot for marketing tools are a few popular SaaS.

4. Is Cloud Computing the best?

Cloud Computing has many benefits. Having a cloud-based virtual IT environment rather than owning IT infrastructure within an office saves time, effort, and costs. You can access required data from anywhere with any electronic device just with the help of an internet connection. Flexibility and mobility reduce an organization’s energy consumption. Thereby reducing their carbon footprints too.

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