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DBMS > Memcached vs. Percona Server for MongoDB vs. Postgres-XL vs. Sphinx

System Properties Comparison Memcached vs. Percona Server for MongoDB vs. Postgres-XL vs. Sphinx

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Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionIn-memory key-value store, originally intended for cachingA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeDocument storeRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.52
Rank#254  Overall
#39  Document stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.memcached.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.postgres-xl.orgsphinxsearch.com
Technical documentationgithub.com/­memcached/­memcached/­wikidocs.percona.com/­percona-distribution-for-mongodbwww.postgres-xl.org/­documentationsphinxsearch.com/­docs
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalPerconaSphinx Technologies Inc.
Initial release200320152014 infosince 2012, originally named StormDB2001
Current release1.6.25, March 20243.4.10-2.10, November 201710 R1, October 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoGPL Version 2Open Source infoMozilla public licenseOpen 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 languageCC++CC++
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
LinuxLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesno
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.noyes infoXML type, but no XML query functionality
Secondary indexesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyes infodistributed, parallel query executionSQL-like query language (SphinxQL)
APIs and other access methodsProprietary protocolproprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoJavaScriptuser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes 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.yes infovia In-Memory Engineno
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users and rolesfine grained access rights according to SQL-standardno

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More resources
MemcachedPercona Server for MongoDBPostgres-XLSphinx
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