Types Of Relational Database Management System

Orientdb is an open source, non relational database management system. It is used under general hardware and can be stored at the speed and capacity of 150,000 files per second. It is written in Java and belongs to a document database that supports acid Tx, http://www.aliyun.com/zixun/aggregation/16666.html ">indexes, asynch queries, SQL Layer, clustering, etc., support A ...

With the rise of internet web2.0 websites, the relational database has become a very hot new field, the development of the non relational database products is very rapid. 　　But the traditional relational database in dealing with web2.0 website, especially the super large-scale and high concurrent SNS type web2.0 pure dynamic website already appeared to be powerless, has exposed many insurmountable problems, for example: 1, high configured--to the database higher concurrent reads and writes the demand WEB2.0 website to be based on user personalized information to generate real-time dynamic ...

HBase is a distributed, column-oriented, open source database based on Google's article "Bigtable: A Distributed Storage System for Structured Data" by Fay Chang. Just as Bigtable takes advantage of the distributed data storage provided by Google's File System, HBase provides Bigtable-like capabilities over Hadoop. HBase Implements Bigtable Papers on Columns ...

Introduction with the advent of the cloud computing era, various types of Internet applications are emerging, the relevant data model, distributed architecture, data storage and other database related technical indicators also put forward new requirements. Although the traditional relational database has occupied the unshakable position in the data storage, but because of its inherent limitation, has been unable to satisfy the cloud computing age to the data expansion, reads and writes the speed, the support capacity as well as the construction and the operation cost request. The era of cloud computing has put forward a new demand for database technology, which is mainly manifested in the following aspects. Mass data processing: to ...

Cloud services and cloud computing any web-based applications and services provided by cloud computing can become cloud services. Cloud services This model can significantly improve the interests of smaller companies and enterprises, compared with the company-specific ERP, the use of cloud services such a model can achieve centralized resource allocation and resource management, but also better meet the needs of users, to achieve procurement configuration, to avoid waste of resources. The company's professional and technical personnel will be regularly maintained and maintained, can significantly reduce costs. 　　The reliability, expansibility and stability of the system are improved remarkably. The advantages of cloud services are low cost and similar to China ...

"IT168" I have always felt that nosql in fact very easy to understand, I have also had a very in-depth study of NoSQL, but in the recent preparation of yuntable chart, found that NoSQL not only very profound, 　　And my personal understanding of NoSQL is only superficial, but I am still a "shame and then Yong" people, so after a period of study, from the sixth part of this series, will talk to you nosql, and this article will be the main to do a NoSQL database review. ...

When it comes to big data, many people first think of internet companies, such as Google, Baidu and Alibaba. Internet companies in the large data analysis has indeed walked in the forefront of the industry, its aura also obscured the industry's big data shine. IDC defines big data with "4 V": volume represents greater capacity, produced represents a variety of data, velocity represents faster processing speed, and value means that large data can create more value. Tianjin Nanda General Data Technology Co., Ltd. (hereinafter referred to as the General) chief technical Officer Vounie said, such as ...

As two of the most popular technologies in the field of information management, the hardware architecture of database integration machine and large data technology is basically the same, but the software system has the essential difference, which leads to the different characteristic performance. With the rapid growth of enterprise data and the continuous improvement of users ' requirements for service level, the traditional relational database technology has shown obvious lack of ability in production practice for a long time. How to obtain high availability of massive data at reasonable cost has become a major challenge in modern it field. In order to meet this challenge, in recent years, it market ...

The big data age has come and has quietly influenced our lives. According to a recent study by IDC, 1 million new links are shared every 20 minutes on Facebook and 10 million user reviews are released. 　　Facebook and all other Internet sites, Internet applications, have gradually become the entire data collection, analysis, processing and value-added architecture. In China, social networks are also in full swing. Sina Vice President Wang Gaofei has said that Sina Weibo has registered more than 300 million users, users on average daily release more than 100 million micro bonnet ...

At home, a lot of marketing people's knowledge of database marketing is very shallow level, simply think that database marketing is to use a database to do sales can, such as holding a group of customers to call, fax, send e-mail, send text messages, to pass the enterprise product information. In fact, this is the implementation of database marketing, is a database marketing extension. The Real database marketing project is actually a complex system of marketing activities, including, database planning, establishment, data analysis, data statistics, data Mining, data modeling ...