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DBMS > OpenQM vs. OpenTenBase vs. OrigoDB vs. Spark SQL

System Properties Comparison OpenQM vs. OpenTenBase vs. OrigoDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonOpenTenBase  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSAn enterprise-level distributed HTAP open source database based on PostgreSQLA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelMultivalue DBMSRelational DBMSDocument store
Object oriented DBMS
Relational 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
#158  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
origodb.comspark.apache.org/­sql
Technical documentationdocs.opentenbase.org
docs.opentenbase.org/­en
origodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRocket Software, originally Martin PhillipsOpenAtom Foundation, previously TencentRobert Friberg et alApache Software Foundation
Initial release19932009 infounder the name LiveDB2014
Current release3.4-122.5, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoBSD-3Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#Scala
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
LinuxLinux
Windows
Linux
OS X
Windows
Data schemeyes infowith some exceptionsyesyesyes
Typing infopredefined data types such as float or dateyesUser 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 .NETno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesnoSQL-like DML and DDL statements
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
C
Go
Java
PHP
Python
.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresyesyesno
Triggersyesyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights can be defined down to the item levelAccess rights for users, groups and roles according to SQL-standardRole based authorizationno

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More resources
OpenQM infoalso called QMOpenTenBaseOrigoDBSpark SQL
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