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DBMS > OpenQM vs. Spark SQL vs. Tkrzw vs. Transbase

System Properties Comparison OpenQM vs. Spark SQL vs. Tkrzw vs. Transbase

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonSpark SQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelMultivalue DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmspark.apache.org/­sqldbmx.net/­tkrzwwww.transaction.de/­en/­products/­transbase.html
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperRocket Software, originally Martin PhillipsApache Software FoundationMikio HirabayashiTransaction Software GmbH
Initial release1993201420201987
Current release3.4-123.5.0 ( 2.13), September 20230.9.3, August 2020Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++C and C++
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyes infowith some exceptionsyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.yesnonono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
Java
Python
R
Scala
C++
Java
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesnonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesyesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing specific database classesno
User concepts infoAccess controlAccess rights can be defined down to the item levelnonofine grained access rights according to SQL-standard

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More resources
OpenQM infoalso called QMSpark SQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTransbase
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