Relational Databases List

This ranking is based on the DB engines list, which analyses 200 different databases on the market, listing top 10. The undisputed top 3 Oracle, MySQL, and Microsoft SQL Server have all along been occupying the first three of the rankings with an absolute advantage, carving out the largest number of users in the market with unique advantages. 1. Oracle 11g First release: 1980 Licensing mechanism: Proprietary SQL: Yes ...

Social media, E-commerce, mobile communications, and machine-machine data exchange make terabytes or even petabytes of data that the enterprise IT department must store and process.   Mastering fragmentation best practices is a very important step in the cloud planning process when users process data for cloud computing databases. Fragmentation is the process of splitting a table into a manageable size disk file. Some highly resilient key-value data stores, such as Amazon simple DB, Google App engine ...

Cassandra is a mixed relational database, similar to Google's bigtable. Its main function is richer than the dynomite (distributed Key-value Storage System), but the support degree is inferior to the document storage MongoDB (the open source product between the relational database and the non relational database, the relational database has the richest function, most resembles the relational database. The supported data structure is very loose and is a JSON-like Bjson format, so you can store more complex data types. ) Cassa ...

Windows http://www.aliyun.com/zixun/aggregation/13357.html ">azure cloud Computing brings new opportunities for database developers looking to build the next generation, cloud-connected applications. As a new cloud paradigm, Windows Azure provides applications with two core relational database technologies with transactional functional relational data storage. The first is the Windows Azure SQL database, and the second is the ...

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 ...

In the past few years, relational databases have been the only choice for data persistence, and data workers are considering only filtering in these traditional databases, such as SQL Server, Oracle, or MySQL. Even make some default choices, such as using. NET will typically choose SQL Server, and Java may be biased toward Oracle,ruby, Mysql,python is PostgreSQL or MySQL, and so on. The reason is simple: In the past a long time, the relational database is robust ...

After more than eight years of practice, from Taobao's collection business to today to support all of Alipay's core business, and in the annual "Double Eleven Singles Day" continue to create a world record for the transaction database peak processing capacity.

In the past few years, the innovative development of the open source world has elevated the productivity of Java™ developers to one level. Free tools, frameworks and solutions make up for once-scarce vacancies. The Apache CouchDB, which some people think is a WEB 2.0 database, is very promising. It's not difficult to master CouchDB, it's as simple as using a Web browser. This issue of Java open ...

NoSQL Database Key Products list release time: 2012.05.15 09:32 &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; Source: Sadie Web Author: Lu Min Cassandra Mixed-type database, similar to Google's bi ...

In recent years, with the development of science and technology, business expansion, more and more enterprises feel losing control of the data. As one of the important core components of IT system, the database carries important information data. The data form multiplication, the data capacity growth rate is also very astonishing, lets the enterprise's data environment almost cannot bear. At the same time, the day-to-day backup, optimization, expansion, and high availability working hours of the DBA (database administrator) are cyclical, as data maintenance management becomes increasingly onerous. How can we solve the above problems? With cloud computing technology ...