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DBMS > Google Search Appliance vs. Solr vs. Sphinx

System Properties Comparison Google Search Appliance vs. Solr vs. Sphinx

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.A widely used enterprise search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineSearch engineSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.86
Rank#86  Overall
#9  Search engines
Score57.57
Rank#17  Overall
#3  Search engines
Score7.39
Rank#47  Overall
#5  Search engines
Websiteenterprise.google.com/­search/­products/­gsa.htmllucene.apache.org/­solrsphinxsearch.com
Technical documentationsupport.google.com/­gsalucene.apache.org/­solr/­resources.htmlsphinxsearch.com/­docs
DeveloperGoogleApache Software FoundationSphinx Technologies Inc.
Initial release200220042001
Current release8.2.0, July 20193.1.1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open 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.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VM and a servlet container inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingno
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 SQLnono infosupports limited query time joinsSQL-like query language (SphinxQL)
APIs and other access methodsAdministrative API
Browser interface
HTTP API
Java API
RESTful HTTP API
Proprietary protocol
Supported programming languages.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
Server-side scripts infoStored proceduresJava pluginsno
Triggersyes infoUser configurable commands triggered on index changesno
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 nodesMaster-slave replicationcloud/distributed (via Zookeeper)
Master-slave replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoslaves poll the master in predefined intervalls
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic locking infoSolr 4no
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.nono
User concepts infoAccess controlUser authentication via various security protocolsno

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More resources
Google Search ApplianceSolrSphinx
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