Relational Database Vendors

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 ...

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 ...

Today's IT World, database NoSQL and newsql processing data way, has gone beyond the use of traditional relational databases. Traditional relational databases don't disappear forever--but their brilliance has passed. Many of the NoSQL databases that have just come out have become popular, such as Mongndb and Cassandra. This is a good remedy for the limitations of the traditional database system. Of course, relative to the rapid development of NoSQL, the database system based on SQL is rather lifeless. This should be the database needs constant Progress update ...

Initially, the platform, the service vendor, establishes its own market differences based on the language it supports, such as Java or. NET, but in the end they continue to evolve to support multiple languages and, ultimately, the infrastructure that serves to support data storage, messaging, application services, and mobility. The market provides a variety of PAAs for developers. Although it seems that PAAs vendors are very similar, but there are many differences. Consider the types that can be controlled, and if so, developers can configure them on the infrastructure. Ideally, PAAs vendors manage all of the implementation ...

The big figures, which emerged in 2011 and soar in 2012, may change many aspects of data management in a dramatic way. Large data systems have brought about changes in the management and manipulation of computer data, continuous extraction, transformation and loading functions, operational business intelligence, dynamic large data, and cloud-based data warehouses. However, with large data entering the 2013, there is no system technology more active than the NoSQL database and Hadoop framework, it seems that these two products have more room for development. According to the marketanalysis ....

In the siege of large manufacturers such as Oracle, IBM and Microsoft, domestic database makers are still struggling to survive. This is an undeniable fact that the database market is close to saturation, especially in the face of the relationship between the transaction database field, foreign manufacturers start early, rich in resources, and also continue to encroach on the market segments, has formed a huge advantage. Faced with this situation, the South's general CTO Vounie that the domestic database manufacturers have missed the best time, should not take their own short board (OLTP) to go head-to-head, but should be in the direction of OLAP. Accompanied by large data ...

In the siege of large manufacturers such as Oracle, IBM and Microsoft, domestic database makers are still struggling to survive. This is an undeniable fact that the database market is close to saturation, especially in the face of the relationship between the transaction database field, foreign manufacturers start early, rich in resources, and also continue to encroach on the market segments, has formed a huge advantage. Faced with this situation, the South's general CTO Vounie that the domestic database manufacturers have missed the best time, should not take their own short board (OLTP) to go head-to-head, but should be in the direction of OLAP. Accompanied by large data ...

Would you like to run the database server on the IaaS cloud? Or should it be converted to a PAAs selection? The choice of a database as a service may sound tempting, such as Cloudant's nosql but how to weigh it? Developers and application designers have a lot of options for deploying databases in the cloud, and it's hard to make the best decisions. Regardless of which cloud database you choose, you need to measure a variety of factors, including cost, availability, scalability, and performance support. The current code may be difficult to select from the platform, the Service (PaaS) database, or even the relational database ...