It can have different types, like AsciiType, LongType, TimeUUIDType, UTF8Type among others. Unique name: Used to reference the column.It is a tuple (a key-value pair) consisting of three elements: Multi-model: OrientDB, FoundationDB, ArangoDB, Alchemy Database, CortexDBДЄ column of a distributed data store is a NoSQL object of the lowest level in a keyspace.Graph: Allegro, Neo4J, InfiniteGraph, OrientDB, Virtuoso, Stardog.Key-value: Dynamo, FoundationDB, MemcacheDB, Redis, Riak, FairCom c-treeACE, Aerospike, OrientDB.Document: Clusterpoint, Apache CouchDB, Couchbase, MarkLogic, MongoDB, OrientDB.Column: Accumulo, Cassandra, Druid, HBase, Vertica.Nevertheless, a basic classification is based on data model. Because of the variety of approaches and overlaps it is difficult to get and maintain an overview of non-relational databases. There have been various approaches to classify NoSQL databases, each with different categories and subcategories. The most common types of NoSQL databases (as portrayed by Wikipedia) The particular suitability of a given NoSQL database depends on the problem it must solve.Дo you want NoSQL, NoSQL, NoSQL or NoSQL?

key-value, graph, or document) differ from those used in relational databases, making some operations faster in NoSQL and others faster in relational databases. The data structures used by NoSQL databases (e.g. Motivations for this approach include simplicity of design, horizontal scaling, and finer control over availability. These databases provide a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. The primary focus of these database was performance, or a given niche, and focus less consitency/transactions. NoSQL, which stands for вЂњNot only SQLвЂќ, departs from the standard relational model since it saw its first introduction in the nineties.

Therefore a RDBMS will have a defined structure and has been a common choice for the storage of information in new databases used for financial records, manufacturing and logistical information, personnel data, and other applications since the 1980s. It consists of a data definition language to define the structure and a data manipulation language to alter the data within the structure. SQL, which stands for вЂњStructured Query LanguageвЂќ, has been around since the seventies and is commonly used in relational databases. When taking a look towards the landscape of databases, one can only accept that there has been a lot of commotion about вЂњ SQL vs NoSQLвЂќ in the last years.

Druid vs arangodb