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DBMS > DataFS vs. Lovefield vs. SpaceTime vs. Yaacomo

System Properties Comparison DataFS vs. Lovefield vs. SpaceTime vs. Yaacomo

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonLovefield  Xexclude from comparisonSpaceTime  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed 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.Embeddable relational database for web apps written in pure JavaScriptSpaceTime is a spatio-temporal DBMS with a focus on performance.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelObject oriented DBMSRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitenewdatabase.comgoogle.github.io/­lovefieldwww.mireo.com/­spacetimeyaacomo.com
Technical documentationdev.mobiland.com/­Overview.xspgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperMobiland AGGoogleMireoQ2WEB GmbH
Initial release2018201420202009
Current release1.1.263, October 20222.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++
Server operating systemsWindowsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxAndroid
Linux
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyes
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.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternA subset of ANSI SQL is implementedyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIJDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
JavaScriptC#
C++
Python
Server-side scripts infoStored proceduresnono
Triggersno, except callback-events from server when changes happenedUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnoneFixed-grid hypercubeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneReal-time block device replication (DRBD)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
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, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBnoyes
User concepts infoAccess controlWindows-Profilenoyesfine grained access rights according to SQL-standard

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