1st April 2018

Which Is The Best Platform For Enterprise Cloud Solutions?

Business has never grown at a faster, more baffling pace before. They are now looking for solutions that can adapt to their needs quickly, help them scale their enterprise and take their productivity levels to the top. This is why enterprise-grade cloud solutions, like these Managed SD-WAN services, have become so important. Tech giants like Google, Microsoft, and Amazon are battling it out to become the market leaders in enterprise cloud. Let’s find which platform suits your business.

It’s important to consider that cloud solution requirements may vary based on the specific platform. For instance, an e-commerce platform might prioritize seamless scalability to handle surges in web traffic during peak shopping seasons, which can be effectively managed using platforms like Kubernetes. To achieve their scalability goals, they may invest in cloud solutions such as AI Cloud to Cloud Backup for Kubernetes or similar alternatives. In contrast, a financial institution may place a strong emphasis on stringent security and compliance features to protect sensitive customer data. In this case, they might opt for cloud solutions specializing in security, compliance, and data protection, offering features like end-to-end encryption and robust access controls.

Is there really a difference?

All three deep-pocketed tech giants are leaving no stones unturned to ensure that they have the upper hand in the cloud computing world. However, as each is trying to one-up the others, all three services end up having similar features. All three of them provide high-end security, compliance and advanced identity management solutions. Apart from this, they provide a safe self-service cloud ecosystem that can be used for instant provisioning as well as auto-scaling.

All three offer support for Hadoop clusters. AWS does so with Elastic Map Reduce, Google uses Dataproc and Azure depends on HDInsight. However, as far the overall number of offerings is concerned, AWS takes the lead. It currently offers 100 services in the database, storage, computer, mobile, management and developer tools, networking, analytics, security and even IoT.

As far as machine learning tools are concerned, all three platforms offer them. The three companies understand that machine learning and NLP along with big data are some of the most promising enterprise-grade technologies that companies will keep demanding for years to come. Apart from this, all three services offer serverless computing. Microsoft and Google do it via Functions while AWS uses Lambda.

The price is similar for all the three companies land almost on the same plane overall. However, the correct pricing can only be decided using the platforms’ native price calculators. If you want to choose a particular service based on its client list, then AWS obviously shines brighter than its counterparts. Moreover, people interested in opting for AWS for their business may also have an interest in trying aws certified solutions architect and learning about its workability. It has some of the biggest deals around, especially with Netflix doing away with its data centers completely and sticking to the cloud.

If you are already using a host of Microsoft tools and SaaS solutions, then you can prefer Azure. The same is true for people who prefer Google’s suite of services.

Is a multi-cloud approach better?

Several organizations, especially the larger, more diverse ones, prefer not to depend on one cloud service alone. Instead, they tend to adopt various other cloud approaches (like nutanix enterprise cloud solutions, for example) where different sections or lines of work are kept on separate clouds. These multiple clouds can be seamlessly integrated to form the virtual company hierarchy and a staggeringly complex infrastructure where there is no single point of failure. It can be viewed as a kind of decentralization that helps businesses in operating perpetually, even if one cloud faces a setback.

Cloud engineers design company infrastructures to ensure maximum security, seamless operability, and integration and consistent scaling methods. Your decision of choosing a particular service could depend on the solutions you are already using as well as the expertise in cloud engineering your firm possesses.

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