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DBMS > DataFS vs. Geode vs. OpenQM vs. Spark SQL vs. Transbase

System Properties Comparison DataFS vs. Geode vs. OpenQM vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGeode  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesQpenQM is a high-performance, self-tuning, multi-value DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelObject oriented DBMSKey-value storeMultivalue DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitenewdatabase.comgeode.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdev.mobiland.com/­Overview.xspgeode.apache.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperMobiland AGOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Rocket Software, originally Martin PhillipsApache Software FoundationTransaction Software GmbH
Initial release20182002199320141987
Current release1.1.263, October 20221.1, February 20173.4-123.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC and C++
Server operating systemsWindowsAll OS with a Java VM infothe JDK (8 or later) is also requiredAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyes infowith some exceptionsyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesnono
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLnoSQL-like query language (OQL)noSQL-like DML and DDL statementsyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyesnoyes
Triggersno, except callback-events from server when changes happenedyes infoCache Event Listenersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingyesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlWindows-ProfileAccess rights per client and object definableAccess rights can be defined down to the item levelnofine grained access rights according to SQL-standard

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More resources
DataFSGeodeOpenQM infoalso called QMSpark SQLTransbase
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