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DBMS > DataFS vs. eXtremeDB vs. Quasardb vs. Trafodion

System Properties Comparison DataFS vs. eXtremeDB vs. Quasardb vs. Trafodion

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisoneXtremeDB  Xexclude from comparisonQuasardb  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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.Natively in-memory DBMS with options for persistency, high-availability and clusteringDistributed, high-performance timeseries databaseTransactional SQL-on-Hadoop DBMS
Primary database modelObject oriented DBMSRelational DBMS
Time Series DBMS
Time Series 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
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitenewdatabase.comwww.mcobject.comquasar.aitrafodion.apache.org
Technical documentationdev.mobiland.com/­Overview.xspwww.mcobject.com/­docs/­extremedb.htmdoc.quasar.ai/­mastertrafodion.apache.org/­documentation.html
DeveloperMobiland AGMcObjectquasardbApache Software Foundation, originally developed by HP
Initial release2018200120092014
Current release1.1.263, October 20228.2, 20213.14.1, January 20242.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen 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 and C++C++C++, Java
Server operating systemsWindowsAIX
HP-UX
Linux
macOS
Solaris
Windows
BSD
Linux
OS X
Windows
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.nono infosupport of XML interfaces availablenono
Secondary indexesnoyesyes infowith tagsyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLSQL-like query languageyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP APIADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnoJava Stored Procedures
Triggersno, except callback-events from server when changes happenedyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioning / shardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication with selectable replication factoryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeno
User concepts infoAccess controlWindows-ProfileCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard
More information provided by the system vendor
DataFSeXtremeDBQuasardbTrafodion
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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DataFSeXtremeDBQuasardbTrafodion
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