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DBMS > Elasticsearch vs. Graph Engine vs. Sphinx

System Properties Comparison Elasticsearch vs. Graph Engine vs. Sphinx

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGraph Engine infoformer name: Trinity  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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineGraph DBMS
Key-value store
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score153.84
Rank#7  Overall
#1  Search engines
Score0.69
Rank#203  Overall
#17  Graph DBMS
#35  Key-value stores
Score6.34
Rank#60  Overall
#7  Search engines
Websitewww.elastic.co/­elasticsearchwww.graphengine.iosphinxsearch.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.graphengine.io/­docs/­manualsphinxsearch.com/­docs
DeveloperElasticMicrosoftSphinx Technologies Inc.
Initial release201020102001
Current release7.8.0, June 20203.2.1, January 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoMIT LicenseOpen 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 Amazon Web Services, Google Cloud and Microsoft Azure that's powered by the creators of Elasticsearch.
Implementation languageJava.NET and CC++
Server operating systemsAll OS with a Java VM.NETFreeBSD
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.nono
Secondary indexesyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP APIProprietary protocol
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyesno
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding 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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes 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 controlno
More information provided by the system vendor
ElasticsearchGraph Engine infoformer name: TrinitySphinx
Specific characteristicsElasticsearch is an open source search and analytics engine. As the heart of the...
» more
Competitive advantagesOpen source Real-time indexsearch, and analysis Horizontally scalable Distributed...
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Typical application scenariosEnterprise search (search experiences for your workplace, apps, and websites), observability...
» more
Key customersThousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
» more
Market metricsPublic as of October 2018 Distributed workforce with 1900+ employees around the globe​...
» 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 managed Elasticsearch.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchGraph Engine infoformer name: TrinitySphinx
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