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DBMS > Redis

Redis System Properties

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Editorial information provided by DB-Engines
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
Rank#10  Overall
#1  Key-value stores
Technical documentationredis.io/­documentation
DeveloperSalvatore Sanfilippo Development sponsored by Redis Labs
Initial release2009
Current release3.2.8, February 2017
LicenseOpen Source BSD 3-Clause, commercial license available
Cloud-based Only available as a cloud serviceno
Implementation languageC
Server operating systemsBSD
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
JavaScript (Node.js)
OCaml Node.js
Pure Data
Server-side scripts Stored proceduresLua
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
More information provided by the system vendor
Specific characteristics

Redis Labs' technology enables installing an enterprise-grade cluster that acts as a container for managing and running multiple Redis databases in a highly available and scalable manner, with predictable and stable top performance.

Redis Labs Enterprise Cluster (RLEC) is a pure software solution that can be deployed on-premises or in the cloud, which may operated independently by the customer or by Redis Labs. Redis Cloud is a fully managed Redis-as-a-Service that's available on Amazon Web Services, Google Cloud Platform, Microsoft Azure and IBM SoftLayer as well as Heroku, Pivotal Web Services, IBM Bluemix and other PaaS providers

Competitive advantages

Redis Labs is the home of open source Redis and the provider of enterprise-grade Redis both as a service(Redis Cloud) as well as downloadable software(Redis Labs Enterprise Cluster) and support. The company's products employ proprietary technology that encapsulates the open source software and provides an enhanced enterprise class deployment architecture for Redis, including seamless scalability, high availability with instant auto-failover and top notch 24x7 support.

Typical application scenarios

Redis is primarily used in scenarios that require performance at scale or when you need to solve complex modern app problems with easy to use data-structures. Redis Cloud and RLEC are drop-in replacements for the open source version that augment it with advanced operational capabilities. These capabilities allow administrators to easily deploy, scale, ensure high availability with instant automatic failover across regions and zones as well as optimize the performance of multiple Redis databases across multiple nodes

Key customers

Nokia, Samsung, HTC, Docker, The Motley Fool, Bleacher Report, HipChat, Salesforce, Hotel Tonight, Cirruspath, Itslearning.com, Xignite, Chargify, Rumble Entertainment, Scopely, Havas Digital, Revmob, MSN, Bleacher Report, Mobli, TMZ, Trip Advisor, Jet, Klarna, Shopify

Market metrics

As of March 2016, Redis Labs had over 5,900 enterprise customers, more than 45,000 free users and an excess of 160K databases created worldwide​

Licensing and pricing models

The licensing model is subscription based. Redis Cloud is priced according to data capacity (both fixed and pay-as-you-go plans are available), whereas RLEC is licensed according to the number of shards (Redis processes) in a cluster.  Redis Cloud offers a free-for-life tier that's limited to a single database of up to 30MB. RLEC is available as a free download that's only soft-limited by the number of shards.

3rd party products and services
Redis Labs is the open source home and the provider of enterprise-class Redis.

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

More resources
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

Conferences and events

RedisConf 2017
San Francisco, California, USA, 31 May 2017 - 2 June 2017

Recent citations in the news

Redis Labs Unveils Redis(e) Technology
6 February 2017, Marketwired (press release)

A look at the leading operational database management systems
10 February 2017, TechTarget

Stratoscale acquires Tesora, adds database-as-a-service offering
6 February 2017, ZDNet

Data processing simplification: 'Real-time' is not just a moniker anymore | #SparkSummit
9 February 2017, SiliconANGLE (blog)

Open Databases a Juicy Extortion Target
13 February 2017, Threatpost

provided by Google News

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