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

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

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Editorial information provided by DB-Engines
NamegStore  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA native Graph DBMS to store and maintain very large RDF datasets.QpenQM 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 processing
Primary database modelGraph DBMS
RDF store
Multivalue DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
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
Websiteen.gstore.cnwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmorigodb.comspark.apache.org/­sql
Technical documentationen.gstore.cn/­#/­enDocsorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRocket Software, originally Martin PhillipsRobert Friberg et alApache Software Foundation
Initial release201619932009 infounder the name LiveDB2014
Current release1.2, November 20233.4-123.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoGPLv2, extended commercial license availableOpen 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++C#Scala
Server operating systemsLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-free and OWL/RDFS-schema supportyes infowith some exceptionsyesyes
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.noyesno infocan be achieved using .NETno
Secondary indexesyesyesno
SQL infoSupport of SQLnononoSQL-like DML and DDL statements
APIs and other access methodsHTTP API
SPARQL 1.1
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
.Net
Basic
C
Java
Objective C
PHP
Python
.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresyesyesyesno
Triggersyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
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 Consistency
Foreign keys infoReferential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
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.noyesno
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportedAccess rights can be defined down to the item levelRole based authorizationno

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More resources
gStoreOpenQM infoalso called QMOrigoDBSpark SQL
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