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DBMS > ArcadeDB vs. Kinetica vs. ObjectBox vs. Teradata vs. Valentina Server

System Properties Comparison ArcadeDB vs. Kinetica vs. ObjectBox vs. Teradata vs. Valentina Server

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonKinetica  Xexclude from comparisonObjectBox  Xexclude from comparisonTeradata  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenFully vectorized database across both GPUs and CPUsExtremely 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 modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational 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
Score0.09
Rank#355  Overall
#48  Document stores
#37  Graph DBMS
#52  Key-value stores
#34  Time Series DBMS
Score0.69
Rank#234  Overall
#107  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
Websitearcadedb.comwww.kinetica.comobjectbox.iowww.teradata.comwww.valentina-db.net
Technical documentationdocs.arcadedb.comdocs.kinetica.comdocs.objectbox.iodocs.teradata.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperArcade DataKineticaObjectBox LimitedTeradataParadigma Software
Initial release20212012201719841999
Current releaseSeptember 20217.1, August 2021Teradata Vantage 1.0 MU2, January 20195.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen 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 languageJavaC, C++C and C++
Server operating systemsAll OS with a Java VMLinuxAndroid
iOS
Linux
macOS
Windows
hosted
Linux
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
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.nononoyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like query language, no joinsSQL-like DML and DDL statementsnoyes infoSQL 2016 + extensionsyes
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Proprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ODBC
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
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 functionsnoyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationonline/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 ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 RAMnoyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
ArcadeDBKineticaObjectBoxTeradataValentina Server
News

Edge AI: The era of on-device AI
23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

Vector Database Release for Flutter / Dart + Python
13 June 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ArcadeDBKineticaObjectBoxTeradataValentina Server
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