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DBMS > Elasticsearch vs. Ignite vs. Sphinx

System Properties Comparison Elasticsearch vs. Ignite vs. Sphinx

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonIgnite  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 metricApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineKey-value store
Relational DBMS
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score152.32
Rank#8  Overall
#1  Search engines
Score5.08
Rank#71  Overall
#11  Key-value stores
#39  Relational DBMS
Score6.45
Rank#57  Overall
#6  Search engines
Websitewww.elastic.co/­elasticsearchignite.apache.orgsphinxsearch.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlapacheignite.readme.io/­docssphinxsearch.com/­docs
DeveloperElasticApache Software FoundationSphinx Technologies Inc.
Initial release201020152001
Current release7.8.0, June 2020Apache Ignite 2.63.2.1, January 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoApache 2.0Open 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 languageJavaC++, Java, .NetC++
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 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.noyes
Secondary indexesyes infoAll search fields are automatically indexedyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageANSI-99 for query and DML statements, subset of DDLSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)no
Triggersyes infoby using the 'percolation' featureyes (cache interceptors and events)no
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 nodesyesyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes (compute grid and hadoop accelerator)no
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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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 integrationyes
User concepts infoAccess controlSecurity Hooks for custom implementationsno
More information provided by the system vendor
ElasticsearchIgniteSphinx
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...
» more
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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More resources
ElasticsearchIgniteSphinx
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