Comparison Of Nosql Databases

Comparison of 8 kinds of NoSQL database system: Kristóf Kovács Editor: Agile translation: Tang Yuhua share: More: Kristóf Kovács is a software architect and consultant who recently published an article comparing various types of NoSQL databases. The article is compiled by Agile translation-Tang Yuhua. If you want to reprint, please refer to the text after the declaration. Although SQL database is very useful ...

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 ...

To help database administrators and http://www.aliyun.com/zixun/aggregation/7155.html > developers more flexibly handle large amounts of data, Skysql launched a mariadb based 　　Enterprise and enterprise cluster products, which are integrated with the NoSQL database. As mobile devices and cloud service users continue to grow, the amount of data the enterprise is processing is growing rapidly. This situation ...

Recently, Thumbtack published two papers, namely ultra-high performance NoSQL benchmark and nosql failover characteristics, the former is the analysis of durability and performance trade-offs, the latter is about Aerospike, Cassandra, Couchbase and MongoDB several NoSQL fault-transfer features. All two benchmarks try to test "user-oriented applications with high throughput and low latency requirements, which can be stored using key-value forms." To make a thumback.

"51CTO classic" MongoDB and Couchdb are both document-oriented databases that use JSON document formats that are often viewed as NoSQL databases and are now fashionable and have a lot in common, but when it comes to queries, the difference is obvious, COUCHDB requires predefined views (essentially JavaScript mapreduce functions), while MONGODB supports dynamic queries (essentially similar to ad hoc queries on traditional relational databases), and more importantly, when it comes to queries, Co ...

1. Languages used in COUCHDB: Erlang features: DB consistency, easy to use license: Apache protocol: http/rest bidirectional data replication, continuous or temporary processing, processing with conflict checking, therefore, The use of Master-master replication (see note 2) mvcc– write without blocking read operation Pre-save version crash-only (reliable) design requires data compression view: Embedded mapping/Reduce formatted view: List display support for server ...

Sweep 18 Major databases: 12 species of sql+6 nosql remember that two or three years ago there were only a few cloud platform vendors to choose from, it seems that there is not much cloud database in the market. But after the cloud boomed, the cloud database also appeared to be springing up. And what is really reliable and easy to use, for users, and bad analysis. So, this paper analyzes the usability and application direction of 18 kinds of databases (note that the Management database service is not the database instance that still requires user management and implementation). There are still deficiencies, I hope to hear more ...

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 ...

Into the 2014, big data from the red media concept of speculation gradually landed into a wealth of industry. The large data service providers springing up in the Chinese market have launched a fierce competition. From "China's large data service provider comprehensive services level TOP100 list" (hereinafter referred to as the list), has been able to vaguely see the Chinese "large data cloud" embryonic. China and the United States "large data cloud" structure compared to the U.S. similar list, the highest ranked 10Gen only ranked 43rd, while the Big Data stock star tableau only 45th, and Marketo simply did not list. ...

The fastest way to store a computer system is the ram traditionally used primarily as memory. As the access performance of the hard drive has deteriorated over the years, and the cost of RAM has been decreasing, many researchers have been exploring how to replace the hard disk with memory in recent years. As early as the 1980, David DeWitt and Garcia-molina and so on published a main memory database paper. Steven Robbins's article points out that the Turing Prize winner, Jim Gray, is more explicit about the idea that "memory will be a hard drive and the hard drive will become a tape."