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DBMS > Elasticsearch vs. Solr vs. Sphinx

System Properties Comparison Elasticsearch vs. Solr vs. Sphinx

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonSolr  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 metricA widely used enterprise search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineSearch engineSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Rank#7  Overall
#1  Search engines
Rank#15  Overall
#3  Search engines
Rank#45  Overall
#5  Search engines
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmllucene.apache.org/­solr/­resources.htmlsphinxsearch.com/­docs
DeveloperElasticApache Software FoundationSphinx Technologies Inc.
Initial release201020042001
Current release6.4.0, August 20187.4.0, June 20183.0.2, February 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence available
Cloud-based infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a ServiceElasticsearch 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.
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMAll OS with a Java VM and a servlet container inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingno
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.nono
Secondary indexesyes infoAll search fields are automatically indexedyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageno infosupports limited query time joinsSQL-like query language (SphinxQL)
APIs and other access methodsJava API
Java API
Proprietary protocol
Supported programming languages.Net
Community Contributed Clients
any language that supports sockets and either XML or JSON
C++ infounofficial client library
Perl infounofficial client library
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesJava pluginsno
Triggersyes infoby using the 'percolation' featureyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyescloud/distributed (via Zookeeper)
Master-slave replication
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, allEventual Consistency infoslaves poll the master in predefined intervalls
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking infoSolr 4no
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 integrationno
User concepts infoAccess controlno
More information provided by the system vendor
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...
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Related products and services
3rd partiesElastic Cloud: Try the official hosted Elasticsearch.
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Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

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

More resources
DB-Engines blog posts

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Recent citations in the news

Search software company Elastic files for IPO as competition with Amazon heats up
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