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DBMS > DataFS vs. OrigoDB vs. Quasardb vs. XTDB

System Properties Comparison DataFS vs. OrigoDB vs. Quasardb vs. XTDB

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuasardb  Xexclude from comparisonXTDB infoformerly named Crux  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.A fully ACID in-memory object graph databaseDistributed, high-performance timeseries databaseA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelObject oriented DBMSDocument store
Object oriented DBMS
Time Series DBMSDocument store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitenewdatabase.comorigodb.comquasar.aigithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdev.mobiland.com/­Overview.xsporigodb.com/­docsdoc.quasar.ai/­masterwww.xtdb.com/­docs
DeveloperMobiland AGRobert Friberg et alquasardbJuxt Ltd.
Initial release20182009 infounder the name LiveDB20092019
Current release1.1.263, October 20223.14.1, January 20241.19, September 2021
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++Clojure
Server operating systemsWindowsLinux
Windows
BSD
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes infointeger and binaryyes, extensible-data-notation format
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 infocan be achieved using .NETnono
Secondary indexesnoyesyes infowith tagsyes
SQL infoSupport of SQLnonoSQL-like query languagelimited SQL, making use of Apache Calcite
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
.NET Client API
HTTP API
LINQ
HTTP APIHTTP REST
JDBC
Supported programming languages.Net
C
C#
C++
VB.Net
.Net.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Clojure
Java
Server-side scripts infoStored proceduresyesnono
Triggersno, except callback-events from server when changes happenedyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factoryes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes infoby using LevelDByes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlWindows-ProfileRole based authorizationCryptographically strong user authentication and audit trail

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More resources
DataFSOrigoDBQuasardbXTDB infoformerly named Crux
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