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DBMS > Microsoft SQL Server vs. MonetDB vs. Sphinx vs. Trafodion

System Properties Comparison Microsoft SQL Server vs. MonetDB vs. Sphinx vs. Trafodion

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Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonMonetDB  Xexclude from comparisonSphinx  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMicrosofts flagship relational DBMSA relational database management system that stores data in columnsOpen source search engine for searching in data from different sources, e.g. relational databasesTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.microsoft.com/­en-us/­sql-serverwww.monetdb.orgsphinxsearch.comtrafodion.apache.org
Technical documentationlearn.microsoft.com/­en-US/­sql/­sql-serverwww.monetdb.org/­Documentationsphinxsearch.com/­docstrafodion.apache.org/­documentation.html
DeveloperMicrosoftMonetDB BVSphinx Technologies Inc.Apache Software Foundation, originally developed by HP
Initial release1989200420012014
Current releaseSQL Server 2022, November 2022Dec2023 (11.49), December 20233.5.1, February 20232.3.0, February 2019
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoMozilla Public License 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++CC++C++, Java
Server operating systemsLinux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesyes infoSQL 2003 with some extensionsSQL-like query language (SphinxQL)yes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary protocolADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes, in SQL, C, RnoJava Stored Procedures
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationSharding via remote tablesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Editionnone infoSource-replica replication available in experimental statusnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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Related products and services
3rd partiesNavicat for SQL Server gives you a fully graphical approach to database management and development.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
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More resources
Microsoft SQL ServerMonetDBSphinxTrafodion
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