Massive Data officially releases AtlasDB, an enterprise-level private cloud database

[51CTO.com original article] On July 28, Beijing Massive Data Technology Co., Ltd. (603138.SH), a company listed on the Shanghai Stock Exchange main board, officially released its enterprise-level private cloud database AtlasDB (Cloud Map Database). Leaders and experts from the National Development and Reform Commission, the Ministry of Industry and Information Technology, the State Administration of State Security, the Energy Bureau, the Meteorological Bureau, the Ministry of Transport, the People's Bank of China, the Shenzhen Municipal Government, the Beijing Municipal Government and other units witnessed this moment. Previously, this database product has been running smoothly in hundreds of user systems for more than a year.

　　Database technology is the crown jewel of the big data industry

At present, my country's basic software database technology is still far behind the international advanced level. Although my country has achieved amazing latecomer advantages in big data technology fields such as information technology application and data analysis, the database and upstream and downstream technologies constitute an inseparable compatible ecosystem. Breaking through it requires the continuous accumulation and polishing of talents, technologies, and products. It is a protracted battle and a three-dimensional project.

With the mission of providing easy-to-use domestic enterprise-level databases, Massive Data Company has launched AtlasDB T1 products, three major innovation laboratories, and a special fund for the database industry. Through the linkage of market, technology, and capital, it will open up the industry ecosystem and accelerate business breakthroughs.

AtlasDB, a good domestic database

After more than ten years of practical experience and a large number of scenario verifications, Massive Data has continuously pursued the ultimate user experience and the safest and most reliable delivery quality, and has served more than 2,000 customers so far. Xiao Feng, president of Massive Data, said: In the process of localizing databases, users generally face problems such as unreasonable database asset allocation, poor user experience, and high migration risks. By absorbing the global wisdom gathered by the database open source community and the stable technology accumulated over many years, AtlasDB strives to provide customers with the best user experience.

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Xiao Feng, President of Massive Data, releases AtlasDB T1

The AtlasDB T1 product has five distinct advantages: First, it has strong compatibility, is compatible with all mainstream CPUs, OS, multiple external data sources, and different development languages, and supports Oracle/MySQL proprietary features; second, it has smooth migration, and the one-click migration tool can automatically realize data object transplantation and data migration, and provide two-way synchronous replication function; third, it has mixed loads and is a distributed HTAP database that supports real-time processing of large concurrent transactions and real-time analysis of massive data; fourth, it is multi-specialized and multi-mode, and can provide multi-mode engines such as space, time series, and graphics; fifth, it is secure and intelligent, with rich security and AI components.

"Front-end-middle-end-back-end" linkage, flexible R&D model

How to make products more in line with user needs, how to make products easier to use and more stable, how to keep products advanced all the time, after long-term thinking and repeated practice, Massive Data Company has gradually explored a flexible R&D model of "front-end-middle-end-back-end" linkage. "Front-end" technicians do code maintenance and services, and collect user needs; "middle-end" product R&D center enhances and improves product functions; "back-end" innovation laboratory develops basic technologies and components common to product lines. Dr. Han Han, vice president of Massive Data Company, officially launched three innovation laboratories for data security, cloud computing, and artificial intelligence.

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Han Han, Vice President of Massive Data Company, launches three major innovation laboratories

In today's rapidly updating and iterating open source community, the "front-end-middle-end-back-end" linkage, modular and process-based R&D mechanism can bring together the collective wisdom of users, engineers and scientists, make the most efficient use of R&D resources, complete product iterations more quickly, and keep up with cutting-edge new technology changes.

Database industry special fund helps business development

Capital can be a strong boost to the leapfrog development of business. The acquisition of domestic and foreign database companies, the incubation of current technology-leading teams, and the investment in future advanced technology directions have become the levers for massive data companies to leverage business growth.

Massive Data Company has accumulated experience for ten years and has used its craftsmanship to create the ultimate user experience for its products; it has redefined the R&D architecture to adapt to the needs of fast iteration, efficient and flexible product R&D; and it has led the way in breaking through the database business through the linkage of market, technology and capital.

[51CTO original article, please indicate the original author and source as 51CTO.com when reprinting on partner sites]