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DBMS > DataFS vs. GeoSpock vs. Lovefield vs. Quasardb vs. TimesTen

System Properties Comparison DataFS vs. GeoSpock vs. Lovefield vs. Quasardb vs. TimesTen

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGeoSpock  Xexclude from comparisonLovefield  Xexclude from comparisonQuasardb  Xexclude from comparisonTimesTen  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be 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.Spatial and temporal data processing engine for extreme data scaleEmbeddable relational database for web apps written in pure JavaScriptDistributed, high-performance timeseries databaseIn-Memory RDBMS compatible to Oracle
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitenewdatabase.comgeospock.comgoogle.github.io/­lovefieldquasar.aiwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdev.mobiland.com/­Overview.xspgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddoc.quasar.ai/­masterdocs.oracle.com/­database/­timesten-18.1
DeveloperMobiland AGGeoSpockGooglequasardbOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2018201420091998
Current release1.1.263, October 20222.0, September 20192.1.12, February 20173.14.1, January 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaScriptC++
Server operating systemsWindowshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariBSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes 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.nonononono
Secondary indexesnotemporal, categoricalyesyes infowith tagsyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like query language infovia JavaScript builder patternSQL-like query languageyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBCHTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C#
C++
VB.Net
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnononoPL/SQL
Triggersno, except callback-events from server when changes happenednoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemAutomatic shardingnoneSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using LevelDByes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDByes infoTransient modeyes
User concepts infoAccess controlWindows-ProfileAccess rights for users can be defined per tablenoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
DataFSGeoSpockLovefieldQuasardbTimesTen
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