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DBMS > Microsoft SQL Server vs. Sphinx

System Properties Comparison Microsoft SQL Server vs. Sphinx

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Our visitors often compare Microsoft SQL Server and Sphinx with Elasticsearch, Solr and MySQL.

Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMicrosofts relational DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1085.06
Rank#3  Overall
#3  Relational DBMS
Score7.23
Rank#46  Overall
#5  Search engines
Websitewww.microsoft.com/­en-us/­sql-serversphinxsearch.com
Technical documentationdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationsphinxsearch.com/­docs
DeveloperMicrosoftSphinx Technologies Inc.
Initial release19892001
Current releaseSQL Server 2017, October 20173.1.1, October 2018
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen 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++C++
Server operating systemsLinux
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.yes
Secondary indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query language (SphinxQL)
APIs and other access methodsOLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++ 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) Javano
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationSharding 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 Editionnone
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.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardno

More information provided by the system vendor

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Microsoft SQL ServerSphinx
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Conferences and events

PASS Summit 2019
Seattle, Washington, USA, 5-8 November 2019

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