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DBMS > Elasticsearch vs. MySQL vs. Sphinx

System Properties Comparison Elasticsearch vs. MySQL vs. Sphinx

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMySQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricWidely used open source RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineRelational DBMS infoKey/Value like access via memcached APISearch engine
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score145.25
Rank#8  Overall
#1  Search engines
Score1167.29
Rank#2  Overall
#2  Relational DBMS
Score7.57
Rank#45  Overall
#5  Search engines
Websitewww.elastic.co/­products/­elasticsearchwww.mysql.comsphinxsearch.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldev.mysql.com/­docsphinxsearch.com/­docs
DeveloperElasticOracle infosince 2010, originally MySQL AB, then SunSphinx Technologies Inc.
Initial release201019952001
Current release6.6.0, January 20198.0.15, February 20193.0.2, February 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen 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 servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageJavaC and C++C++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesno
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
Secondary indexesyes infoAll search fields are automatically indexedyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
Proprietary native API
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients
Ada
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 proceduresyesyes infoproprietary syntaxno
Triggersyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal 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 nodesyesMaster-master replication
Master-slave replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes 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.Memcached and Redis integrationyes
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesno
More information provided by the system vendor
ElasticsearchMySQLSphinx
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
Typical application scenarios
» more
Key customers
» more
Market metricsMore than 250 million cumulative downloads More than 100,000 community members in...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

Elastic Cloud: Try the official hosted Elasticsearch.
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Dremio is like magic for MySQL accelerating your analytical queries up to 1,000x.
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Azure Database for MySQL provides fully managed, enterprise-ready community MySQL database as a service
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ScaleGrid: Fully managed MySQL-as-a-Service.
» more

Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchMySQLSphinx
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