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The two common distinguishing features of NewSQL database solutions are that they support online scalability of NoSQL databases and the relational data model (including ACID consistency) using SQL as their primary interface. [11] NewSQL systems can be loosely grouped into three categories: [2] [12]
NoSQL systems are also sometimes called "Not only SQL" to emphasize that they may support SQL-like query languages or sit alongside SQL databases in polyglot-persistent architectures. [3] [4] Non-relational databases have existed since the late 1960s, but the name "NoSQL" was only coined in the early 2000s, [5] triggered by the needs of Web 2.0 ...
A distributed SQL database is a single relational database which replicates data across multiple servers. Distributed SQL databases are strongly consistent and most support consistency across racks, data centers, and wide area networks including cloud availability zones and cloud geographic zones .
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
It has parallel backup and parallel replication among clusters for disaster recovery. Clustrix is a scale-out SQL database management system and part of what are often called the NewSQL database systems (modern relational database management systems), closely following the NoSQL movement. [15]
Distributed NoSQL Document Database, JSON model and SQL based Query Language. Yes [9] CouchDB: Apache Software Foundation: Apache License: Any language that can make HTTP requests JSON over REST/HTTP with Multi-Version Concurrency Control and limited ACID properties. Uses map and reduce for views and queries. [10] Yes [11] CrateDB: Crate.io ...
Since the early 1990s, the operational database software market has been largely taken over by SQL engines. In 2014, the operational DBMS market (formerly OLTP) was evolving dramatically, with new, innovative entrants and incumbents supporting the growing use of unstructured data and NoSQL DBMS engines, as well as XML databases and NewSQL databases.
NoSQL databases prioritize scalability along with supporting transactions in order to guarantee data consistency in the event of concurrent updates and accesses. In a database system, a transaction might consist of one or more data-manipulation statements and queries, each reading and/or writing information in the database.