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DBMS > Kinetica vs. Microsoft Azure Table Storage vs. Microsoft SQL Server

System Properties Comparison Kinetica vs. Microsoft Azure Table Storage vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsA Wide Column Store for rapid development using massive semi-structured datasetsMicrosofts relational DBMS
Primary database modelRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#200  Overall
#97  Relational DBMS
Score4.85
Rank#63  Overall
#5  Wide column stores
Score1083.43
Rank#3  Overall
#3  Relational DBMS
Websitewww.kinetica.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.microsoft.com/­en-us/­sql-server
Technical documentationwww.kinetica.com/­docsdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentation
DeveloperKineticaMicrosoftMicrosoft
Initial release201220121989
Current release6.0SQL Server 2019, November 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++
Server operating systemsLinuxhostedLinux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
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 federation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 datanooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 levelAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

More information provided by the system vendor

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More resources
KineticaMicrosoft Azure Table StorageMicrosoft SQL Server
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