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DBMS > Elasticsearch vs. Sphinx

System Properties Comparison Elasticsearch vs. Sphinx

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

Editorial information provided by DB-Engines
NameElasticsearch  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 metricOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score145.25
Rank#8  Overall
#1  Search engines
Score7.57
Rank#45  Overall
#5  Search engines
Websitewww.elastic.co/­products/­elasticsearchsphinxsearch.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlsphinxsearch.com/­docs
DeveloperElasticSphinx Technologies Inc.
Initial release20102001
Current release6.6.0, January 20193.0.2, February 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen 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.
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.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
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.no
Secondary indexesyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languages.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesno
Triggersyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectorno
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, all
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
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.Memcached and Redis integration
User concepts infoAccess controlno
More information provided by the system vendor
ElasticsearchSphinx
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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesElastic Cloud: Try the official hosted Elasticsearch.
» more

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
ElasticsearchSphinx
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Recent citations in the news

Evolution of Metrics Collection and Log Aggregation at Coinbase
17 February 2019, InfoQ.com

Data Silos and Breaches: Building a Long-term Security Operations Platform with Elasticsearch
25 January 2019, TDWI

Elastic Releases Elastic Stack 6.6, APM on Elasticsearch Service, and Elastic Cloud Enterprise 2.1
29 January 2019, Associated Press

Why Do Elasticsearch Databases Keep Getting Hacked?
15 February 2019, Infosecurity Magazine

Another Bank Found in Elasticsearch Database Leaks
24 January 2019, Infosecurity Magazine

provided by Google News

GoodFirms Research Unlocks the List of Top IT Development, Designing & Marketing Companies for February 2019
7 February 2019, PRNewswire

Google Plans to Launch Censored Search Engine in China, Leaked Documents Reveal
1 August 2018, The Intercept

Copycat Sphinx resurrected in Hebei. Egypt prepares to complain to UNESCO again.
12 June 2018, Shanghaiist

eCommerce Search & Personalization
6 May 2018, SitePoint

Famous Journalist Denies 'Malicious Slander' of Baidu
17 January 2019, Caixin Global

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