Compared with conventional infrastructure cloud and application cloud, enterprises have always maintained the most cautious attitude towards data cloud. However, it is not static. According to a set of data released by Gartner not long ago, in the ranking of the global database management system market share in 2022, Amazon Cloud Technology, a pure cloud vendor, surpassed the old traditional database vendors Oracle and Microsoft, and ranked No. 1 for the first time. Ranked first.
Reduce the non-business workload of the enterprise
The core value of the cloud does not lie in the cloud itself, but in the ability to reduce the workload of enterprises in the field of ICT infrastructure and allow enterprises to focus more on business innovation. This is especially important in today's "Uka" era, surrounded by great uncertainties. The high elasticity of cloud-native databases can help enterprises cope with uncertainty. This is an important reason why many companies are willing to migrate their databases to the cloud.
According to Gartner's data, it can be seen that in the past 10 years, the database market shares of major cloud vendors including Amazon Cloud Technology, Google Cloud, and Alibaba Cloud have increased, while the market shares of traditional software companies have declined. Such as Oracle, IBM, SAP and so on.
High availability across regions is an important advantage of the Amazon cloud technology global database compared to traditional databases. Traditional databases need to be deployed from scratch when deployed in multiple locations, but Amazon Cloud Technology's global database can take advantage of the extensive geographical coverage of the public cloud to facilitate global deployment and ensure that global customers get a consistent user experience, which is conducive to the sustainable and healthy development of the business .
Up to now, Amazon cloud technology has 31 geographic regions and 99 availability zones in the world, providing services to customers from 245 countries and regions around the world. This data is still increasing, which provides great convenience for multinational companies, including Chinese overseas companies.
Obviously, when enterprises no longer need to care about basic tasks such as hardware, security, and geography, they can reduce the burden of non-business work, focus more on business-related matters, and accelerate the pace of business expansion and innovation.
Realize the integration and linkage between data and upper-level applications
For enterprises, storing and managing data well is not the goal. The ultimate goal is to make good use of data, give full play to the value of data assets, and truly make data the core means of production of enterprises. This requires that the database can be better integrated with upper-level applications such as data analysis and AI services to form a mutual linkage relationship, so as to achieve the goal of data-driven innovation. This is also an important advantage of cloud-native databases.
At the 2022 re:Invent Global Conference, Amazon Cloud Technology proposed an end-to-end cloud-native data strategy, including full closed-loop data storage, query, action, cataloging, and governance. The three core elements are: to establish a future-oriented Cloud-native data infrastructure, safe and efficient data integration across organizations, and data-driven intelligent innovation through machine learning tools.
Such an end-to-end data journey can help enterprises break down data silos, realize data capitalization, and safely allow data to flow between different business systems; and then integrate end-to-end big data and machine learning tasks to improve overall development efficiency. For example, through features such as Amazon Aurora ML and Amazon Neptune ML, developers do not need to have machine learning expertise, and can perform machine learning operations only by using familiar database languages; and Amazon Athena can support multiple open source frameworks for big data platforms , perform federated queries on different data sources, and quickly complete data processing for machine learning modeling.
It is worth noting that in order to realize the deep integration of data and applications, enterprises often also need the support of service providers, that is, the partners of cloud vendors provide services such as migration and hosting. Amazon Cloud Technology already has the most powerful partner and developer ecosystem in the enterprise ICT market, which is one of the reasons for the rapid increase in its database market share.