Amazon is considered the real pioneer in the field of public cloud computing and has. A very extensive set of tools that continues to grow exponentially. However, this multitude of different and constantly growing services does not always make it easy for According to Gartner Amazon is the most mature the end user to maintain an overview and keep up with the pace of new developments. Getting started with AWS is considered rather difficult. In addition, the somewhat confusing cost structure is often criticized. Train machine learning models and then deploy them directly to a production-ready hosted environment.
Microsoft Azure is currently considered
AWS’s closest competitor. Azure is particularly DB to Data attractive for corporate customers, as Azure is much more focused than AWS on hybrid cloud architecture, i.e. a mix of on-premise (=local) and cloud services. In contrast, Gartner criticizes the services that are less mature than. OWS and therefore sometimes more unreliable. Gartner: “Microsoft Azure’s reliability issues continue to challenge customers…. Since September 2018, Azure has experienced several service impacting incidents.
Including significant outages with
Azure Active Directory. »As a well-financed UAB Directory outsider in the competition, Google entered the cloud market relatively late. But it has deep technical expertise, and its industry-leading tools for deep learning and artificial intelligence. Machine learning and data analysis are undoubtedly significant advantages.
However, it still lags behind its two competitors in terms of the breadth and maturity of its services. Comparison of the different machine learning servicesAmazon SageMaker Amazon. SageMaker is a fully managed machine learning service that allows data scientists and developers to build and
