DaaS or desktop as a service is a cloud computing offering. Here a service provider delivers a virtual desktop to its end users over the internet. This is licensed and offers a subscription per user.
Any backend management will be taken care of by the provider. This works for small businesses that may find it difficult to create their own infrastructure of virtual desktops. It may be a time-consuming resource and expensive for them too. This is where companies make use of DaaS.
The management will usually include backup, maintenance, data storage, and updates. The cloud service provider will also handle the applications and security for the desktop. It is also possible for users to manage their services individually. The desktops in DaaS could be of two types. These are persistent desktops and non-persistent desktops.
The cloud providers can let their customers choose from both kinds of desktops. The workers who have a specific need get access to the persistent desktops and the occasional and temporary workers get access to the non-existent desktops.
DaaS is a cloud computing strategy that includes delivering applications to the end-user over the network instead of making them run the applications locally on a device. DaaS will outsource more data integration, storage, and processing operations to the cloud.
The introduction of low-cost bandwidth and cloud storage along with the cloud-based platforms that are designed specifically for large scale and fast processing and data management has made DaaS highly beneficial and practical.
What is DaaS is clear so now let’s read about its working. When you use DaaS the cloud service provider will host the network resources, infrastructure, and storage in the cloud and then stream a virtual desktop to the device. Here the user can get access to the data on the desktop and the applications through software or a web browser. An organization can buy as many virtual desktops as they need through the subscription model. With the changes in technology, applications such as CAD that need a lot of computer power to display fast can also run on DaaS.
If there is an excess of workload on a particular server and this gets high then the IT administrators could migrate to a virtual machine that is running from one to another physical server in a few seconds only. This allows the graphics accelerated to run without interruptions. Broadcasting, engineering, and design as well as the architecture industries can benefit when they make use of the DaaS technology.
Here we discuss DaaS vs VDI. The VDI or the virtual desktop infrastructure lets organizations host the desktop operating system remotely on the endpoint devices making use of a centralized server. All the data resides in the data centre server and the endpoint is just a way for the users to get access to the data through the internet. VDI needs a lot of investment for storage, network, and computing the infrastructure in the data centre. It also needs an IT team that manages and sets up the virtual infrastructure.
With the DaaS model, the cloud service provider bears the setup cost of the infrastructure. It also takes up the cost of management. This makes DaaS highly affordable than having a VDI. This is dependent on the subscription price and the number of end-users who are served.
A company that has many users will find DaaS as well as VDI affordable. However to serve many users one needs a large IT staff that can handle every issue that may come up. DaaS lets the company work with leaner staff as the vendor deals with connectivity issues, deployment, and any other problems faced by the end-users.
With VDI however the IT staffs of the company gets more control over the desktop offering and more control over the security as compared to DaaS.
There are some clear benefits of DaaS over the traditional desktop model.
With many organizations turning to the cloud in order to modernize infrastructure and the workload, data as a service is gaining in popularity for analytics, data integration, and to manage storage. Embracing DaaS, companies can improve the data workload agility, reduce the insight time, and increase the integrity and the reliability of data.
Data as a service is a strategy of data management that makes use of the cloud to deliver data integration storage and processing through the network connection.
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