In 2017, the database vendor recommendation report released by Gartner included database vendors from China for the first time, namely Alibaba Cloud, SequoiaDB and NTU General GBase. Among the three vendors, Jushan Database and NTU are database vendors focusing on the enterprise market, while Alibaba Cloud is strictly a cloud computing company.
Why do cloud computing companies want to "cross-border" the database field, and do it well? What kind of database is a cloud-native database? What are the standards?... In response to these questions, we interviewed Alibaba before the opening of DTCC 2018 Cloud Database Chief Architect - Cai Truffle (flower name: Zijia).
▲Cai Truffle, Chief Architect of Alibaba Cloud Database
Cai Truffle (Zijia), Chief Architect of Alibaba Cloud Database, is mainly responsible for Alibaba Cloud PolarDB, NoSQL technology and the overall architecture of Alibaba Cloud database. He has deep accumulation and rich experience in search engines, NoSQL databases, distributed systems, operating system kernels and other fields.
Cross-border databases of cloud computing companies are a trend, and self-developed databases are a matter of course
Why do cloud computing companies "cross-border" to do databases? AWS CEO Andy Jassy said at his own conference a very good answer, "The next competitive battlefield of cloud computing is the database." Of course, in This statement is also confirmed in the development strategies of many peer cloud computing companies. We see that cloud computing companies at home and abroad are competing to provide database services. For example, Alibaba Cloud provides more than 20 database services.
In this regard, Zijia said that the cross-border database of cloud computing companies is the general trend. First of all, the database technology has a high gold content and represents one of the most complex data technologies. Second, databases are an extremely lucrative area of cloud computing. Third, the continuous development of the Internet of Things will lead to the explosive growth of data, and the development of artificial intelligence requires the blessing of a large amount of data. How to connect these two popular fields? Database is a good bridge.