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DBMS > Memcached vs. Redis vs. Ultipa

System Properties Comparison Memcached vs. Redis vs. Ultipa

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Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonRedis  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionIn-memory key-value store, originally intended for cachingPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.High performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelKey-value storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceGraph DBMS
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.99
Rank#32  Overall
#4  Key-value stores
Score148.64
Rank#6  Overall
#1  Key-value stores
Score0.11
Rank#335  Overall
#31  Graph DBMS
Websitewww.memcached.orgredis.com
redis.io
www.ultipa.com
Technical documentationgithub.com/­memcached/­memcached/­wikidocs.redis.com/­latest/­index.html
redis.io/­docs
www.ultipa.com/­document
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.Ultipa
Initial release200320092019
Current release1.6.29, June 20247.2.5, May 2024
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprisecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or datenopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesnoyes infowith RediSearch module
SQL infoSupport of SQLnowith RediSQL module
APIs and other access methodsProprietary protocolproprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersnopublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsnothrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the server
Durability infoSupport for making data persistentnoyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication

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More resources
MemcachedRedisUltipa
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