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DBMS > OpenQM vs. Solr vs. Sphinx vs. Typesense

System Properties Comparison OpenQM vs. Solr vs. Sphinx vs. Typesense

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelMultivalue DBMSSearch engineSearch engineSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Score0.76
Rank#219  Overall
#14  Search engines
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmsolr.apache.orgsphinxsearch.comtypesense.org
Technical documentationsolr.apache.org/­resources.htmlsphinxsearch.com/­docstypesense.org/­docs
DeveloperRocket Software, originally Martin PhillipsApache Software FoundationSphinx Technologies Inc.
Initial release1993200620012015
Current release3.4-129.6.1, May 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyes infowith some exceptionsyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingnoyes
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.yesyes
Secondary indexesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)no
APIs and other access methodsJava API
RESTful HTTP/JSON API
Proprietary protocolRESTful HTTP API
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyesJava pluginsnono
Triggersyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights can be defined down to the item levelyesno

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More resources
OpenQM infoalso called QMSolrSphinxTypesense
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