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DBMS > OpenQM vs. OrigoDB vs. Spark SQL vs. SWC-DB

System Properties Comparison OpenQM vs. OrigoDB vs. Spark SQL vs. SWC-DB

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingA high performance, scalable Wide Column DBMS
Primary database modelMultivalue DBMSDocument store
Object oriented DBMS
Relational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmorigodb.comspark.apache.org/­sqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRocket Software, originally Martin PhillipsRobert Friberg et alApache Software FoundationAlex Kashirin
Initial release19932009 infounder the name LiveDB20142020
Current release3.4-123.5.0 ( 2.13), September 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen SourceOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#ScalaC++
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Linux
Data schemeyes infowith some exceptionsyesyesschema-free
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyes
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.yesno infocan be achieved using .NETnono
Secondary indexesyesyesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
ODBC
Proprietary protocol
Thrift
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
.NetJava
Python
R
Scala
C++
Server-side scripts infoStored proceduresyesyesnono
Triggersyesyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights can be defined down to the item levelRole based authorizationno

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More resources
OpenQM infoalso called QMOrigoDBSpark SQLSWC-DB infoSuper Wide Column Database
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