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DBMS > Kinetica vs. OpenEdge vs. OpenQM vs. Oracle Berkeley DB vs. Oracle Rdb

System Properties Comparison Kinetica vs. OpenEdge vs. OpenQM vs. Oracle Berkeley DB vs. Oracle Rdb

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOpenEdge  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsApplication development environment with integrated database management systemQpenQM is a high-performance, self-tuning, multi-value DBMSWidely used in-process key-value store
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#200  Overall
#97  Relational DBMS
Score3.91
Rank#77  Overall
#41  Relational DBMS
Score0.26
Rank#250  Overall
#10  Multivalue DBMS
Score2.93
Rank#86  Overall
#15  Key-value stores
#2  Native XML DBMS
Score1.01
Rank#149  Overall
#73  Relational DBMS
Websitewww.kinetica.comwww.progress.com/­openedgewww.openqm.comwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlwww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.html
Technical documentationwww.kinetica.com/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.openqm.com/­support/­documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperKineticaProgress Software CorporationMartin PhillipsOracle infooriginally developed by Sleepycat, which was acquired by OracleOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20121984199319941984
Current release6.0OpenEdge 11.7, March 20173.4-1218.1 (Core), June 20187.3.3.2.0, 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infocommercial license availablecommercial
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, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
HP Open VMS
Data schemeyesyesyes infowith some exceptionsschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonoyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoclose to SQL 92noyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Progress proprietary ABL (Advanced Business Language).Net
Basic
C
Java
Objective C
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsyesyesno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4yesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationyesMaster-slave 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 Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDyes, on a single node
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 RAMnoyesno
User concepts infoAccess controlAccess rights for users and roles on table levelUsers and groupsAccess rights can be defined down to the item levelno

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More resources
KineticaOpenEdgeOpenQM infoalso called QMOracle Berkeley DBOracle Rdb
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