Graph Based Nosql Database

It was easy to choose a database two or three years ago. Well-funded companies will choose Oracle databases, and companies that use Microsoft products are usually SQL Server, while budget-less companies will choose MySQL. Now, however, the situation is much different. In the last two or three years, many companies have launched their own Open-source projects to store information. In many cases, these projects discard traditional relational database guidelines. Many people refer to these items as NoSQL, the abbreviation for "not only SQL." Although some NoSQL number ...

Naresh Kumar, a software engineer and enthusiastic blogger, has great interest in programming and new things, and is happy to share technical research results with other developers and programmers. 　　Recently, Naresh wrote about 12 well-known free, open source NoSQL databases, and analyzed the characteristics of these databases. Now that the NoSQL database is becoming more and more popular, I'm here to summarize some of the great, free and open source NoSQL databases. In these databases, MongoDB the top, with considerable ...

Within a few years, the NoSQL database has focused attention on performance, scalability, flexible patterns, and analytical capabilities. 　　Although relational databases are still a good choice for some use cases, like structural data and applications that require acid transactions, NoSQL is more advantageous in the following use cases: The data stored is essentially semi-structured or loosely-structured. 　　Requires a certain level of performance and scalability. 　　The application to access the data is consistent with the final consistency. Non-relational databases typically support the following features: Flexible ...

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 ...

As a software developer or DBA, one of the essential tasks is to deal with databases, such as MS SQL Server, MySQL, Oracle, PostgreSQL, MongoDB, and so on. As we all know, MySQL is currently the most widely used and the best free open source database, in addition, there are some you do not know or useless but excellent open source database, such as PostgreSQL, MongoDB, HBase, Cassandra, Couchba ...

Michael Stonebraker is a pioneer in the field of databases. His deep expertise has also helped to develop some of the most popular database systems such as Postgres, Ingres and Vertica. One of his most recent studies is VoltDB, a memory-based OLTP (Online Transaction Processing) system, which he claims is two orders of magnitude faster than traditional solutions. However, Stonebraker's opinion has been controversial over the years, on the one hand being ...

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF large data Expert committee, the Chinese Academy of Sciences and CSDN co-organizer of the 2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014 will be opened at Crowne Plaza Hotel, New Yunnan, Beijing. The three-day conference aims to promote the development of large data technology in the industry, and to set up "large data Infrastructure" and "large data ..."

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Dougcutting based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapreduc ...

Two days ago, someone asked questions on Weibo, in what way to tell the big data and cloud computing can not be heard by professionals more clearly, in fact, there are many cases of large data, business intelligence analysis has repeatedly mentioned the value and significance of data mining, but today to see more data than before, big data is not terrible, The scary thing is that his real-time analytics will expose flaws and truth to people, so when cloud computing encounters big data and a brain pours into companies, can companies manage? The so-called large data mainly covers 3V-oriented, respectively, the Treatment of aging (Veloci ...