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

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

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonWakandaDB  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 processingWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelMultivalue DBMSDocument store
Object oriented DBMS
Relational DBMSObject oriented 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
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmorigodb.comspark.apache.org/­sqlwakanda.github.io
Technical documentationorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwakanda.github.io/­doc
DeveloperRocket Software, originally Martin PhillipsRobert Friberg et alApache Software FoundationWakanda SAS
Initial release19932009 infounder the name LiveDB20142012
Current release3.4-123.5.0 ( 2.13), September 20232.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen SourceOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#ScalaC++, JavaScript
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infowith some exceptionsyesyesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesyes
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 statementsno
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
.NetJava
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresyesyesnoyes
Triggersyesyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnonenone
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 dataACIDACIDnoACID
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 authorizationnoyes

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More resources
OpenQM infoalso called QMOrigoDBSpark SQLWakandaDB
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