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DBMS > Microsoft SQL Server vs. searchxml vs. Sphinx

System Properties Comparison Microsoft SQL Server vs. searchxml vs. Sphinx

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Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonsearchxml  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMicrosofts relational DBMSDBMS for structured and unstructured content wrapped with an application serverOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSNative XML DBMS
Search engine
Search engine
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1081.91
Rank#3  Overall
#3  Relational DBMS
Score0.11
Rank#281  Overall
#7  Native XML DBMS
#15  Search engines
Score7.04
Rank#49  Overall
#5  Search engines
Websitewww.microsoft.com/­en-us/­sql-serverwww.searchxml.net/­category/­productssphinxsearch.com
Technical documentationdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationwww.searchxml.net/­support/­handoutssphinxsearch.com/­docs
DeveloperMicrosoftinformationpartners gmbhSphinx Technologies Inc.
Initial release198920152001
Current releaseSQL Server 2019, November 20191.03.1.1, October 2018
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinux
Windows
WindowsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyes
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.yesyes
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP API
WebDAV
XQuery
XSLT
Proprietary protocol
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++ infomost other programming languages supported via APIsC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes infoon the application serverno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Editionyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerno
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application servicesno

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Microsoft SQL ServersearchxmlSphinx
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