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DBMS > Elasticsearch vs. MariaDB vs. Sphinx

System Properties Comparison Elasticsearch vs. MariaDB vs. Sphinx

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMariaDB  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 metricMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. With MariaDB ColumnStore a column-oriented storage engine is available too.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineRelational DBMSSearch engine
Secondary database modelsDocument storeDocument store
Graph DBMS infowith OQGraph storage engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score148.82
Rank#7  Overall
#1  Search engines
Score85.20
Rank#12  Overall
#8  Relational DBMS
Score6.32
Rank#49  Overall
#5  Search engines
Websitewww.elastic.co/­products/­elasticsearchmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
sphinxsearch.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlmariadb.com/­kb/­en/­librarysphinxsearch.com/­docs
DeveloperElasticMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Sphinx Technologies Inc.
Initial release201020092001
Current release7.0.0, April 201910.4.6, June 20193.1.1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoGPL version 2, commercial enterprise subscription 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.
  • Azure Database for MariaDB: A fully managed, scalable MariaDB relational database with high availability and security built in at no extra cost
  • MariaDB Managed Service: A customized MariaDB deployment fully managed by the experts at MariaDB in the cloud of your choice. Keeps you up to date with features, upgrades, hotfixes and security patches.
Implementation languageJavaC and C++C++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes infoDynamic columns are supportedyes
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
Eiffel
Erlang
Go
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 infoPL/SQL compatibility added with version 10.3no
Triggersyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingHorizontal partitioning, sharding with Spider storage engine or Galera cluster infoPartitioning by range, list, hash, keySharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replication infousing MariaDB Galera Cluster
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 datayesyesyes
Durability infoSupport for making data persistentyesyes infonot for in-memory storage engineyes 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 infowith MEMORY storage engine
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
ElasticsearchMariaDBSphinx
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Open source database from the creators of MySQL, enhanced with enterprise tools and...
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
High availability, scalability, performance beyond MySQL and other databases.
» more
Typical application scenarios
» more
Web, SaaS and Cloud operational/transactional applications that require high availability,...
» more
Key customers
» more
Booking.com, Wikipedia, Google, Canal+, ClubMed, Deutsche Telekom, La Poste, Virgin...
» more
Market metricsMore than 250 million cumulative downloads More than 100,000 community members in...
» more
MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» 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.
» more
Azure Database for MariaDB: Easily deploy applications to the cloud.
» more

Navicat for MariaDB provides a native environment for MariaDB database management and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchMariaDBSphinx
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Conferences and events

MariaDB OpenWorks 2020
New York City, USA, 4-6 May 2020

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