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DBMS > Kinetica vs. Microsoft Azure AI Search vs. Microsoft SQL Server vs. RDF4J

System Properties Comparison Kinetica vs. Microsoft Azure AI Search vs. Microsoft SQL Server vs. RDF4J

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsSearch-as-a-service for web and mobile app developmentMicrosofts flagship relational DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSSearch engineRelational DBMSRDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
Vector DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.kinetica.comazure.microsoft.com/­en-us/­services/­searchwww.microsoft.com/­en-us/­sql-serverrdf4j.org
Technical documentationdocs.kinetica.comlearn.microsoft.com/­en-us/­azure/­searchlearn.microsoft.com/­en-US/­sql/­sql-serverrdf4j.org/­documentation
DeveloperKineticaMicrosoftMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2012201519892004
Current release7.1, August 2021V1SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++Java
Server operating systemsLinuxhostedLinux
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes 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 Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlAccess rights for users and roles on table levelyes infousing Azure authenticationfine grained access rights according to SQL-standardno

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More resources
KineticaMicrosoft Azure AI SearchMicrosoft SQL ServerRDF4J infoformerly known as Sesame
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