Cloud adoption is taking over multiple regions and industries. Companies figured out that after adopting cloud computing, they become more agile in the competitive marketplace. Businesses now don’t have to spend time and money maintaining and buying their own servers, rather, they can use the off-the-shelf professional infrastructure given by cloud service providers.
How to choose the right cloud platform?
Technical and business requirements must be the main factors determining your choice. Think about the features, application integration, and budget you may need for a cloud solution. Your decision should be based on the opportunities the cloud provider offers to reach your business goal. Many experts recommend that enterprises evaluate their public cloud needs on a case-by-case basis and match specific applications and workloads with the vendor that offers the best fit for their needs. Each of the leading vendors has particular strengths and weaknesses that make them a good choice for certain projects.
What makes Google Cloud Platform different?
The Google security model is an end-to-end process, built on over 15 years of experience focused on keeping customers safe on Google applications like Gmail and Google Apps. With Google Cloud your applications and data take advantage of the same security model.
Billing by the second
Compute Engine instances are charged in one-second increments with a one-minute minimum, so you don't pay for compute minutes that you don't use. Learn more about billing.
Google’s big data technology innovations like MapReduce, Bigtable, and Dremel, plus next-generation breakthrough services and frameworks for cloud data warehousing (BigQuery), advanced machine learning (AI Platform), batch and real-time data processing (Dataflow, Pub/Sub, Dataproc), intelligent data preparation (Dataprep by Trifacta) and stunning visual analytics (Google Data Studio) help you transform your business with powerful data insights. Google Cloud big data analytics solutions are serverless, removing the complexity of building and maintaining a data analytics system, so you can accelerate your time-to-insight.
Google's backbone network uses advanced software-defined networking and edge caching services to deliver fast, consistent, and scalable performance.
Google Cloud data centers run on half the energy of a typical data center, and run on 100% renewable energy where available. Learn more about renewable energy in Google data centers.
The vast number of AWS services and options is something that attracts customers and at the same time scares a bit. Many companies see that employees need decent training on the AWS ecosystem to manage it appropriately. AWS also requires a lot of set up work, which cannot be said about other cloud services, that provide ‘out of the box’ solutions. Many people consider that a huge drawback of AWS is the absence of a specific “hybrid cloud” solution like Google offers. Microsoft offers significant discounts on Azure which is attractive to new customers. Although Azure is the best option for Microsoft ecosystem users, its support for other operating systems is limited. AWS wins in this battle because of the customization potential.
Although Google occupies the smallest percentage of the market share, it still has a huge number of fans, because they proved themselves as a viable IaaS competitor. Intuitive simplicity and easy to use interface make this platform stand out among the top three. An expertise Google has with big data analytics and ML applications enables customers to easily leverage that expertise from within Google Cloud Services. It also allows users to enjoy high-quality networking, storage, computing, and databases with GCP. Google differs from its competitors by the number of services. Although the number isn’t as high, developers can find a perfect match by looking through the requirements for mobile apps projects.
Google is a well-funded underdog in the competition, Google entered the cloud market later and doesn't have the enterprise focus that helps draw corporate customers. But its technical expertise is profound, and its industry-leading tools in deep learning and artificial intelligence, machine learning and data analytics are significant advantages.
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