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DBMS > Redis

Redis System Properties

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Editorial information provided by DB-Engines
NameRedis
DescriptionIn-memory data structure store, used as database, cache and message broker Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Database modelKey-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Score119.89
Rank#9  Overall
#1  Key-value stores
Websiteredis.io
Technical documentationredis.io/­documentation
DeveloperSalvatore Sanfilippo Development sponsored by Redis Labs
Initial release2009
Current release3.2.5, October 2016
LicenseOpen Source BSD 3-Clause, commercial license available
Cloud-based Only available as a cloud serviceno
Implementation languageC
Server operating systemsBSD
Linux
OS X
Windows ported and maintained by Microsoft Open Technologies, Inc.
Data schemeschema-free
Typing predefined data types such as float or datepartial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesno
SQL Support of (almost full) SQL standard (DML, DDL and DCL statements)no
APIs and other access methodsproprietary protocol RESP - REdis Serialization Protocol
Supported programming languagesC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml Node.js
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Tcl
Server-side scripts Stored proceduresLua
Triggersno
Partitioning methods Methods for storing different data on different nodesSharding
Replication methods Methods for redundantly storing data on multiple nodesMaster-slave replication Chained replication is supported
MapReduce Offers an API for user-defined Map/Reduce methodsno
Consistency concepts Methods to ensure consistency in a distributed systemEventual Consistency
Foreign keys Referential integrityno
Transaction concepts Support to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scripts
Concurrency Support for concurrent manipulation of datayes Data access is serialized by the server
Durability Support for making data persistentyes Configurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.yes
User concepts Access controlSimple password-based access control Access control lists and SSL are available in the commercial version

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More resources
Redis
DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

MongoDB is the DBMS of the year, defending the title from last year
7 January 2015, Paul Andlinger, Matthias Gelbmann

Notable DBMS presentation: Yao Yu on how Redis is used at Twitter
25 September 2014, Matthias Gelbmann

show all

Recent citations in the news

Redis Labs Leads a Discussion on Big Data Database Challenges at AWS re:Invent 2016
17 November 2016, Marketwired (press release)

Winners of the First Global Redis Modules Hackathon announced by Redis Labs
7 December 2016, Yahoo Sports

13 Top-Paying Database Skills For 2017
8 December 2016, Information Management

ScaleGrid (Scalegrid.io) Announces Redis Hosting Services On Amazon Web Services (AWS)
18 November 2016, HostReview.com (press release)

How Redis Productized A Repository For High Performance Applications
21 November 2016, Forbes

provided by Google News




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