Cloud Wars: AWS vs. Azure
Cloud computing is radically altering the way business manage data. Cloud computing is the on-demand delivery of IT resources over the internet, with pay per use pricing. This saves millions of dollars for companies in investment in buying, owning, and maintaining physical data centers and servers.
Organizations of all type, size, and industry are using the cloud for an array of use cases such as data backup, disaster recovery, email, virtual desktops, software development and testing, big data analytics, and customer facing web applications.
Cloud computing market is led by Amazon AWS followed by Microsoft’s Azure. But that lead is starting to slip as other firms like Google Cloud Platform make moves to boost their cloud computing offerings. While keeping in mind the concerns of any company wishing to shift to cloud computing like maintaining control of own data, Data Security and privacy, Transparency, and compliance let us compare between the two cloud giants and the advantages offered by each.
Pricing: AWS vs Azure
Cloud service pricing undergoes frequent changes, so to be sure kindly consult the Azure and AWS websites for the current official price rates. To have a through exploration of the prices for all the services relevant to your workloads, there are pricing calculators available for both AWS and Azure.
Advantages and Disadvantages of AWS and Azure
On comparison we can find that both Azure and AWS offer a broad and deep set of capabilities with global coverage. Both are solid performers with equivalence in almost 99% of the use cases.
Picking one from the lot is more of a business decision and will depend on the requirements of the organization. For instance, if an organization requires a robust Platform-as-a-service (PaaS) provider or needs Windows integration, Azure would be the advisable choice, whereas an organization looking for infrastructure-as-a-service (IaaS ) or diverse set of tools then AWS is the best choice for you.
More recently another criterion for making decision is how much built-in analytics tools are available on these platforms. Such tools help in releasing analytics projects quicker.