What are the domestic big data companies?

Domestic big data main camp:

1.Alibaba

Alibaba has transaction data and credit data, more in the construction of data circulation, collection and sharing of the underlying structure.

2. HuaweiHuawei Cloud Services

integrates high-performance computing and storage capabilities to provide a professional and stable IT infrastructure platform for big data mining and analysis, and recently Huawei's big data storage has achieved unified management of 40PB file systems

3. Baidu

Baidu's strengths are in the massive amount of data, precipitation of more than 10 years of user behavioral data, natural language processing capabilities and cutting-edge research in the field of deep learning. Recently Baidu officially released its big data engine, which will spearhead foreign cooperation in traditional areas such as government, healthcare, finance, retail and education.

4. Wave

Wave Internet big data collection center has collected more than 2PB data, and has established 5 major categories of data classification and processing algorithms. Recently, it has successfully released the latest representative product of mass storage system, AS130000.

5. Tencent

Tencent owns user relationship data and social data based on it, and Tencent's idea is mainly to use data to improve its products, focusing on the back-end data connectivity of its products such as QZONE, WeChat, and e-commerce.

Domestic companies doing big data are still divided into two categories: one is now already have access to big data capabilities of the company, such as Baidu, Tencent, Alibaba and other Internet giants, as well as Huawei, Wave, ZTE, and other domestic leaders, covering data collection, data storage, data analysis, data visualization, and data security, etc.; the other is the start-up big data companies, they rely on big data tools, for the market demand, to provide the best service. data tools to meet market demand, bring innovative solutions to the market and promote the development of technology. Most of these Big Data applications still require the services of third-party companies. It is worth mentioning that, among the startups, CodeSearch is a dark horse, specializing in U.S. Internet cutting-edge technology, advocating Silicon Valley entrepreneurial model, independent research and development of core technologies, has developed and maintained the U.S. has tens of millions of users of the website, and in the network data collection, big data analysis with outstanding capabilities, will also be launched in the country for a series of government affairs, business innovation and big data research projects and cooperation It will also launch a series of innovative big data research projects and cooperation for governmental affairs and enterprises in China, and provide high-end information technology consulting services for major enterprises.

Domestic big data main camp

1. Alibaba

Alibaba has transaction data and credit data, more in the construction of data circulation, collection and sharing of the underlying structure.

2. HuaweiHuawei Cloud Services

integrates high-performance computing and storage capabilities to provide a professional and stable IT infrastructure platform for big data mining and analysis, and recently Huawei's big data storage has achieved unified management of 40PB file systems

3. Baidu

Baidu's strengths are in the massive amount of data, precipitation of more than 10 years of user behavioral data, natural language processing capabilities and cutting-edge research in the field of deep learning. Recently Baidu officially released its big data engine, which will spearhead foreign cooperation in traditional areas such as government, healthcare, finance, retail and education.

4. Wave

Wave Internet big data collection center has collected more than 2PB data, and has established 5 major categories of data classification and processing algorithms. Recently, it has successfully released the latest representative product of mass storage system, AS130000.

5. Tencent

Tencent has user relationship data and social data based on it, and Tencent's idea is mainly to use data to improve its products, focusing on the back-end data connectivity of its products such as QZONE, WeChat, and e-commerce.

6. DYNAMIC ? Tang code technology independent research and development of DYSON can only analyze the system, can be a complete realization of the collection, analysis, processing of big data. Has been doing foreign projects the largest U.S. lawyers platform, doctors platform and hotel, air ticket booking platform data collection, analysis, processing. Will launch a series of innovative big data research projects and cooperation for government affairs and enterprises in China, and provide high-end information technology consulting services for major enterprises.

7. ZTE's "Efficient Data Center Overall Service Solution Focusing on ICT Services" can help operators effectively solve most of the problems they face in building IDCs in the era of big data, and enhance their ICT convergence service capabilities.

8. Shenzhourong integrates credit data from authoritative third-party credit bureaus and e-commerce platforms and other credit application scenarios, and provides big-data-driven credit risk-control decision-making services for microfinance institutions through top-notch risk-control technologies covering the entire credit lifecycle management.

9. ZTE Dawning

The ZTE Dawning XData Big Data All-in-One can realize automatic task decomposition and parallel execution on multiple data modules, which comprehensively improves the efficiency under complex query conditions.

10.Huashengtiancheng

Shengtiancheng's self-developed big data product "iData" is quite innovative, and has recently entered into a strategic partnership with IBM, which covers the Linux on Power market, smart city, storage business, management services, consulting and application management services.

11. Digital China "Digital China" launched the "smart city" strategic layout, has launched a citizen integration service platform, self-service terminal service platform and other products, and in Foshan, Wuhan and other "smart city" construction practice. Smart City" construction in Foshan, Wuhan and other practical application.

12. UFIDA has conducted research and development in the fields of business analytics and big data processing, and has successively launched products such as UFIDA BQ and UFIDA AE.

13.Neusoft Neusoft's big data strategy takes the healthcare industry as a breakthrough, and with the resources accumulated in the social security and healthcare industries, it has built Neusoft Xikang, a smart healthcare platform.

14. Kingdee KBI seamlessly integrates with Kingdee ERP, realizing the integrated application of BI data collection - integration - analysis and decision support.

15.Baodu Baodu Big Data Cloud Backup, a cloud backup solution designed for big data, supports physical and virtual machine backups and has unlimited expansion possibilities and is completely automatic.

16. For IP governance and auditing in the era of big data, Qisda provides solutions such as terminal auditing, terminal data anti-leakage, log auditing, and helping users to solve their IP governance needs through a comprehensive auditing platform.

17.TORS

Through the acquisition of Tianxing Network Security, it can expand its application in the public security industry, and is now focusing on developing the industry application market and tapping into the value of big data in each industry chain.

18.Rongzhilian

Retail, securities, biology, and government are the main target industries for Rongzhilian's big data business, and it has already provided big data analytics solutions for the retail industry to solve the inventory problem.

19.Zhongke Jinzai

As a leading high-end IT integrated service provider in China, it mainly serves big data in the financial industry.

20.MPC

Focusing on the public security market, its business includes electronic data forensics, electronic data appraisal, network public opinion analysis, digital rights protection, notary public cloud, search cloud, and forensic cloud services.