An action to replace the traditional database is quietly going on around the world.

With the competition of the world's major technology giants, open source software technology has been active in various information technology fields. Among them, the big data ecosystem has become a direct beneficiary of open source technology. Open source technology is suitable for complex data management systems, which brings agile, efficient, extensible and self-controlled management capabilities and helps enterprises reduce IT construction and maintenance costs. On the day of double 1 1 in 2065438, PolarDB, a native database in Alibaba Cloud, easily responded to the data peak with an instantaneous increase of 0: 00: 00 122 times. Netflix also uses Metacat, an open source architecture developed by itself, to aggregate massive data into a "single" data warehouse, which greatly improves management energy efficiency.

At present, more and more enterprises and talents in China have joined the open source community, and their contributions are "coming from behind", which has promoted the prosperity and sustainable development of open source projects and open source ecology.

The big data ecosystem has become a big "beneficiary" of open source technology.

In recent years, big data can be seen in many fields such as Internet services, multimedia and scientific research. In the era of big data, the increasing amount of data, the demand for data processing speed and the diversity of data types, structures and sources have brought new challenges to the agility, efficiency, scalability and personalized management of databases.

Open source technology has achieved high-quality development of the big data ecosystem. Pu Songtao, Ph.D., CCID Institute of Information and Software Services, said that after decades of development, open source software and tools have been applied to all aspects of the development of the big data industry. Based on open source software, enterprises can quickly build a big data application platform and provide rich big data development and application tools.

At present, enterprises of almost all sizes are using open source software and tools for big data processing and data-based predictive analysis. Heavyweight open source projects such as Hadoop, OpenStack, OpenShift, Mapreduce and docker have also emerged in the open source industry, leading the direction of technological innovation in the industry.

Huatai Life Insurance builds a new IT system based on OpenShift architecture, which is easy to manage, enhances the competitiveness of enterprises and realizes the digital transformation of business. In terms of infrastructure, this paper introduces Red Hat OpenShift container cloud solution and Red Hat Ceph distributed storage. By putting the insurance business on the docker cloud, Huatai Life's business can be flexibly expanded and quickly launched, and its Internet insurance project can be accelerated.

Netflix, a well-known online movie rental provider in the United States, also adopted Metacat, an open source framework for big data discovery services. Because Netflix's data warehouse consists of many large data sets, in order to ensure that the data platform can become a "single" data warehouse across these data sets, Metacat, a metadata service developed by Netflix, can make the occurrence, discovery, processing and management of data faster and more efficient, and greatly improve the processing accuracy; It is also compatible with Spark, Presto, Pig and Hive architectures. Ajoy Majumdar, a software architect of Netflix, pointed out that open source is a competitive strategy of a technology company, which can not only establish its own solutions as industry standards and best practices, but also establish Netflix's technology brand, and also get feedback and benefits from the * * * enjoyment ecosystem.

In fact, there are many mainstream open source platforms to promote the high-quality development of big data applications, such as Spark, Shark and Bagel. Pu Songtao said that these open source platforms have greatly lowered the application threshold and effectively helped enterprises realize industrial-grade applications, which in turn led to large-scale deployment in various industries. In addition, a number of open source feeder platforms have emerged in big data. Among them, Storm completely got rid of the classic MapReduce architecture, and redesigned an architecture suitable for stream computing, which is triggered by data flow, has high computational timeliness, is suitable for the design of directed acyclic graph computing topology, and has been deployed and applied in the industry.

Supply and demand in the open source community are "win-win" and China's power rises.

The establishment of open source community has made outstanding contributions to promoting the development of open source software and building competitive advantages in the industry. The growth of the team needs the continuous contribution of every user's wisdom to achieve the real "* * *" win. In the development of open source, geeks, big companies and commercial disruptors appear in turn, and the appeal of open source technology has also changed from business-driven to ecological-driven. Liao Xiangke, an academician of China Academy of Engineering, pointed out that open source is the main source of software innovation technology and the starting point of ecology, not the entry point of profit.

The "* * * sharing and contribution" mechanism of open source software has attracted the participation of many developers and given every developer the right to "subvert the rules of the game". With this ecological blessing, information technology will be rapidly promoted and all participants will continue to make profits. In this regard, Li Feifei said that the beneficiaries of the open source ecology are both the demand side and the supply side of open source technology. From the supply side, the more people participate, the faster the iterative evolution caused by thinking collision will be; From the demand side, each enterprise can not only avoid the "technical bundling" of closed-source systems, but also realize the migration of database technology in open-source communities. Enterprises can also customize the database according to the technical characteristics of enterprises to realize the transformation of a large number of applications and codes, and the systems are compatible with each other.

Liu Peng, vice chairman and secretary general of China Open Source Software Promotion Alliance, said on PostgreSQL. CN 20 19 believes that at present, more and more domestic enterprises have made important contributions to open source, and China's open source strength has increased. Open source software developers represented by Huawei and Ali have gradually reached the same level as Amazon and Microsoft, and realized the identity change from "user" to "leader".

At present, Chinese enterprises have 1 platinum members (Huawei), 1 gold members (Alibaba Cloud) and dozens of silver members (including Tencent, China Mobile and Lenovo) in the Linux Foundation. Huawei ranks among the best in several open source communities. Ni Guangnan, an academician of China Academy of Engineering, believes that Huawei is an outstanding representative of open source software development, which realizes innovation and development through introduction and digestion, and then contributes to the whole open source community.

Alibaba Cloud has also become an important game changer and one of the global cloud database leaders. In 20 18, Alibaba Cloud database successfully entered the magic quadrant of Gartner database, which was the first time that China company appeared in this list. Recently, in the ranking of global market share of cloud database released by Gartner, Alibaba Cloud ranked third, surpassing Oracle Bone Inscriptions, IBM and Google. On May 2 1, Alibaba Cloud provided the ability to migrate traditional databases to the cloud with one click, which can help enterprises easily upload offline databases such as MySQL, PostgreSQL and Oracle to the cloud and complete the migration within a few hours at the earliest. Li Feifei said that the distributed storage architecture of PolarDB cloud native database developed by Alibaba Cloud has the advantages of multiple writing, calculation and storage separation, which helps Taobao trading platform to cope with the data flood peak of double 1 1, and it instantly increases by 122 times that day.

In addition, many enterprises in China, including Baidu, Inspur and Gao Han, have actively participated in and contributed to the open source community. Emerging information technologies such as artificial intelligence and autonomous driving have also become important application fields of open source projects.