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DBMS > Kdb vs. Memcached vs. Realm vs. Sphinx

System Properties Comparison Kdb vs. Memcached vs. Realm vs. Sphinx

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMemcached  Xexclude from comparisonRealm  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performance Time Series DBMSIn-memory key-value store, originally intended for cachingA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMS
Vector DBMS
Key-value storeDocument storeSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score7.41
Rank#52  Overall
#8  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitekx.comwww.memcached.orgrealm.iosphinxsearch.com
Technical documentationcode.kx.comgithub.com/­memcached/­memcached/­wikirealm.io/­docssphinxsearch.com/­docs
DeveloperKx Systems, a division of First Derivatives plcDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRealm, acquired by MongoDB in May 2019Sphinx Technologies Inc.
Initial release2000 infokdb was released 2000, kdb+ in 2003200320142001
Current release3.6, May 20181.6.27, May 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoBSD licenseOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqCC++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
Android
Backend: server-less
iOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesno
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.yesno
Secondary indexesyes infotable attribute 'grouped'noyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language (q)nonoSQL-like query language (SphinxQL)
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary protocolProprietary protocol
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnono inforuns within the applications so server-side scripts are unnecessaryno
Triggersyes infowith viewsnoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoRepcached, a Memcached patch, provides this functionallitynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realm
User concepts infoAccess controlrights management via user accountsyes infousing SASL (Simple Authentication and Security Layer) protocolyesno
More information provided by the system vendor
KdbMemcachedRealmSphinx
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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KdbMemcachedRealmSphinx
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