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DBMS > MySQL vs. Sphinx

System Properties Comparison MySQL vs. Sphinx

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Our visitors often compare MySQL and Sphinx with Elasticsearch, Microsoft SQL Server and Solr.

Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionWidely used open source RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS infoKey/Value like access via memcached APISearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1253.68
Rank#2  Overall
#2  Relational DBMS
Score6.94
Rank#50  Overall
#5  Search engines
Websitewww.mysql.comsphinxsearch.com
Technical documentationdev.mysql.com/­docsphinxsearch.com/­docs
DeveloperOracle infosince 2010, originally MySQL AB, then SunSphinx Technologies Inc.
Initial release19952001
Current release8.0.17, July 20193.1.1, October 2018
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
Implementation languageC and C++C++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesno
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.yes
Secondary indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query language (SphinxQL)
APIs and other access methodsProprietary native API
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoproprietary syntaxno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes 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
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesno

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