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DBMS > Kingbase vs. Microsoft Azure AI Search vs. Microsoft SQL Server vs. Sphinx

System Properties Comparison Kingbase vs. Microsoft Azure AI Search vs. Microsoft SQL Server vs. Sphinx

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Editorial information provided by DB-Engines
NameKingbase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Search-as-a-service for web and mobile app developmentMicrosofts flagship relational DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSSearch engineRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.kingbase.com.cnazure.microsoft.com/­en-us/­services/­searchwww.microsoft.com/­en-us/­sql-serversphinxsearch.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchlearn.microsoft.com/­en-US/­sql/­sql-serversphinxsearch.com/­docs
DeveloperBeiJing KINGBASE Information technologies inc.MicrosoftMicrosoftSphinx Technologies Inc.
Initial release1999201519892001
Current releaseV8.0, August 2021V1SQL Server 2022, November 20223.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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 and JavaC++C++
Server operating systemsLinux
Windows
hostedLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnoyes
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLStandard with numerous extensionsnoyesSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary protocol
Supported programming languages.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
C#
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 proceduresuser defined functionsnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoImplicit feature of the cloud servicetables 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 nodesyesyes infoImplicit feature of the cloud serviceyes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationfine grained access rights according to SQL-standardno

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KingbaseMicrosoft Azure AI SearchMicrosoft SQL ServerSphinx
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