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DBMS > Elasticsearch vs. MongoDB vs. Sphinx

System Properties Comparison Elasticsearch vs. MongoDB vs. Sphinx

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMongoDB  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 metricOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineDocument storeSearch engine
Secondary database modelsDocument storeSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score151.59
Rank#7  Overall
#1  Search engines
Score443.48
Rank#5  Overall
#1  Document stores
Score6.54
Rank#55  Overall
#6  Search engines
Websitewww.elastic.co/­elasticsearchwww.mongodb.comsphinxsearch.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.mongodb.com/­manualsphinxsearch.com/­docs
DeveloperElasticMongoDB, IncSphinx Technologies Inc.
Initial release201020092001
Current release7.7.0, May 20204.2.8, June 20203.2.1, January 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
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, GCP and Azure that's powered by the creators of Elasticsearch.MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialno
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 indexedyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageRead-only SQL queries via the MongoDB Connector for BISQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
proprietary protocol using JSONProprietary protocol
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesJavaScriptno
Triggersyes infoby using the 'percolation' featureyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infopartitioned by hashed, ranged, or zoned sharding keysSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesno
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
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptionalyes 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 infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users and rolesno
More information provided by the system vendor
ElasticsearchMongoDBSphinx
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
The MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosSearch, logging, security, metrics, maps and business analytics use cases.
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customers
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsMore than 400 million cumulative downloads More than 100,000 community members in...
» more
70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» 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 partiesElastic Cloud: Try the official hosted Elasticsearch.
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Studio 3T: The world's favorite IDE for working with MongoDB
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DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
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ScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
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Datadog: Visualize all your MongoDB metrics.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchMongoDBSphinx
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