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DBMS > Kinetica vs. Microsoft Access vs. ObjectBox vs. Teradata vs. Valentina Server

System Properties Comparison Kinetica vs. Microsoft Access vs. ObjectBox vs. Teradata vs. Valentina Server

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonObjectBox  Xexclude from comparisonTeradata  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Extremely fast embedded database for small devices, IoT and MobileA hybrid cloud data analytics software platform (Teradata Vantage)Object-relational database and reports server
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series 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
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Score47.84
Rank#21  Overall
#15  Relational DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitewww.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accessobjectbox.iowww.teradata.comwww.valentina-db.net
Technical documentationdocs.kinetica.comdeveloper.microsoft.com/­en-us/­accessdocs.objectbox.iodocs.teradata.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperKineticaMicrosoftObjectBox LimitedTeradataParadigma Software
Initial release20121992201719841999
Current release7.1, August 20211902 (16.0.11328.20222), March 2019Teradata Vantage 1.0 MU2, January 20195.7.5
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache License 2.0commercialcommercial
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++
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLsAndroid
iOS
Linux
macOS
Windows
hosted
Linux
Linux
OS X
Windows
Data schemeyesyesyesyesyes
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.nonoyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardnoyes infoSQL 2016 + extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Proprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
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
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsyes infosince Access 2010 using the ACE-enginenoyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-enginenoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneonline/offline synchronization between client and serverMulti-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 Consistency
Foreign keys infoReferential integrityyesyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003yesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
KineticaMicrosoft AccessObjectBoxTeradataValentina Server
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More resources
KineticaMicrosoft AccessObjectBoxTeradataValentina Server
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