Edge computing vs cloud computing: what's best for your business?
Finding the best approach for your business can take some trial and error, as well as some time researching how each technology and digital infrastructure choice can support your business goals. When choosing between cloud and edge computing, you will need to know what they are, what the differences between the two are, and how each can strengthen your business's operations in its own way.
Choosing the right IT framework decision for your data management can mean choosing between different storage frameworks and systems. Cloud and edge computing are just two ways you can store, manage, and process your data in a beneficial way for your business.
What is edge computing?
Edge computing is the distribution of your IT framework for the benefit of closer data management and processing. By using an edge network, you can bring your data processing power closer to your source of work, reducing the time and latency for your computing processing power. In general, it refers to the design of your IT framework that moves your processing computing power closer to your users.
Technologies in edge computing
Edge computing is reliant on the technologies you choose. Technologies used in edge computing can include:
Benefits of edge computing
Edge computing is ideal for businesses seeking growth. Its benefits can aid in business development, leading to a stronger business model. Some strengths of edge computing include:
What is cloud computing?
Cloud computing is the buying of computing services, including storage and programmes, over the internet on a pay-as-you-go basis. This can offer businesses better flexibility and faster innovation on a scale needed by their business. Cloud systems offer on-demand delivery so that your users can access what they need, when they need it, and your business can keep the other systems and processes in the cloud for the next time they’re needed without worry.
Common models of cloud services (IaaS, Paas, SaaS)
Your business won’t need everything at all times, so the cloud is designed to give you what you want, when you need it. Larger clouds work over multiple locations with the use of data centres. Some products you can buy on a pay-as-you-go service, on-demand with cloud solutions include:
Business uses of cloud computing
Cloud computing can be useful for businesses looking to rent resources and applications without committing to long-term investment. Some uses that businesses find for cloud computing include, but aren’t limited to:
Comparing edge and cloud performance
Getting the most out of your computing performance means choosing the right design and framework for you. Whether that is using edge computing or opting for a cloud choice, you need to know what will work best for your business and its operations. When considering which to use, you should consider edge’s and cloud’s:
Speed and latency
Speed and low latency are vital for your business’ smooth running. When it comes to the fastest processing power, edge computing is the best for your business. The locality of processing means that you can compute quicker and more efficiently, while waiting for information and data to pass between your users and the cloud could take additional time.
Data handling efficiency
Depending on the type of data handling that your business needs, you will be better off with either cloud or edge computing. Edge computing is great for localised, real-time data management due to its low latency and close-by processing solution. However, if you need large-scale data management, then cloud computing can offer you the power you need behind your management – but with a higher latency. This means you need to prioritise what your business needs from the data it stores and manages before deciding which approach is best for you.
Which offers better real-time processing?
If real-time processing is what you need for your business, then investing in edge computing is the best option. Due to the speed and low latency of localised processing, you can ensure that your users have access to the real-time data they need. Cloud computing can include a delay to this, so it is good for larger processing needs but with the cost of time.