![]() The key requirement for this type of customers is flexibility and comprehensiveness. According to Guan Tao, cloud computing services can help start-ups lower the threshold of their access to big data services and allow them to focus their limited manpower and material resources on the business layer so that they can quickly build business services and implement elastic scaling to deal with uncertain future developments. Internet start-ups are usually characterized by the uncertainty of their business models, scales, and computing scenarios, small data volume, insufficient capital, and lack of their own data technologies. If cloud computing is to become an essential infrastructure, it must match the requirements of enterprises of different scales and with different technology levels. Although this argument remains to be verified, we do need to speed up migrating to the cloud in China. We often hear this: In the future, cloud computing will be like current common utility infrastructures such as water, gas, and electrical grids. Local Big Data Servicesīefore comparing big data services on the cloud platform with local big data services, let's discuss one basic question first: Are enterprises of different scales and with different technology levels all suitable for migrating to the cloud? This is a question that enterprises must carefully consider before they decide to migrate to the cloud. Guest of this interview: Guan Tao, head of the Alibaba Cloud intelligent and universal computing platform Big Data Services on the Cloud Platform vs. InfoQ will conduct a series of discussions on the aforementioned questions and interview several technical experts in the cloud computing and big data fields to find answers to these questions. Does this mean that local big data services will disappear shortly? Which is the final trend of big data services on the cloud platform, multiple clouds, hybrid cloud or a single public cloud? If the cluster scale increases, will the cost of migrating to the cloud be too high? ![]() DataBricks, a commercial company founded by the creators of Spark, adopts a software development philosophy different from that of Cloudera and Hortonworks and sticks to the on-the-cloud subscription, making it one of the leading companies in the industry. Some analysts say the integration of streaming technologies like Hadoop and Spark/Flink in cloud platforms has made basic products of Cloudera and Hortonworks fall behind. This is especially true after the merge of Cloudera and Hortonworks. Local big data services seem to have a decreasing share of the big data market. For the big data service alone, mainstream cloud service providers can provide dozens of services. Over the past few years, big data services on the cloud have become more mature. By choosing a cloud platform, an enterprise can extend its technical boundary and provide technical support for its business boundary extension. This is actually a major reason why many enterprises choose cloud platforms. An enterprise may consider migrating to the cloud when it requires a specific capability (like AI or big data) but it does not have adequate technology support or its core competitiveness is not technology. Unlike the "Replacement" of the existing technical boundaries, today a new answer to this question is when an enterprise needs to "extend" its technical boundary. When should an enterprise decide to migrate to the cloud? In the past, the answer to this question may have been that when an enterprise wants an alternative to purchasing new hardware to meet new business needs (mainly from the perspective of cost) or it needs elastic computing and finds that a cloud platform is a good solution for scaling IT resources during business peaks.
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