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DBMS > Kinetica vs. Microsoft SQL Server vs. ObjectBox vs. SiteWhere vs. Teradata

System Properties Comparison Kinetica vs. Microsoft SQL Server vs. ObjectBox vs. SiteWhere vs. Teradata

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonObjectBox  Xexclude from comparisonSiteWhere  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsMicrosofts flagship relational DBMSExtremely fast embedded database for small devices, IoT and MobileM2M integration platform for persisting/querying time series dataA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Score47.84
Rank#21  Overall
#15  Relational DBMS
Websitewww.kinetica.comwww.microsoft.com/­en-us/­sql-serverobjectbox.iogithub.com/­sitewhere/­sitewherewww.teradata.com
Technical documentationdocs.kinetica.comlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.objectbox.iositewhere1.sitewhere.io/­index.htmldocs.teradata.com
DeveloperKineticaMicrosoftObjectBox LimitedSiteWhereTeradata
Initial release20121989201720101984
Current release7.1, August 2021SQL Server 2022, November 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache License 2.0Open Source infoCommon Public Attribution License Version 1.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C and C++Java
Server operating systemsLinuxLinux
Windows
Android
iOS
Linux
macOS
Windows
Linux
OS X
Windows
hosted
Linux
Data schemeyesyesyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnonoyes
Secondary indexesyesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnonoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary native APIHTTP REST.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanoyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnoneSharding infobased on HBaseSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, but depending on the SQL-Server Editiononline/offline synchronization between client and serverselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesnonoyes
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardyesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard
More information provided by the system vendor
KineticaMicrosoft SQL ServerObjectBoxSiteWhereTeradata
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14 November 2023

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More resources
KineticaMicrosoft SQL ServerObjectBoxSiteWhereTeradata
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