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DBMS > Linter vs. Sphinx

System Properties Comparison Linter vs. Sphinx

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Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionRDBMS for high security requirementsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#333  Overall
#139  Relational DBMS
Score7.39
Rank#47  Overall
#5  Search engines
Websitelinter.ru/­ensphinxsearch.com
Technical documentationsphinxsearch.com/­docs
Developerrelex.ru/­enSphinx Technologies Inc.
Initial release19902001
Current release3.1.1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesno
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 indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
Proprietary protocol
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
LinterSphinx
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