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DBMS > DataFS vs. H2GIS vs. Spark SQL vs. STSdb

System Properties Comparison DataFS vs. H2GIS vs. Spark SQL vs. STSdb

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonH2GIS  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  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.Spatial extension of H2Spark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelObject oriented DBMSSpatial DBMSRelational DBMSKey-value store
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
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitenewdatabase.comwww.h2gis.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdev.mobiland.com/­Overview.xspwww.h2gis.org/­docs/­homespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMobiland AGCNRSApache Software FoundationSTS Soft SC
Initial release2018201320142011
Current release1.1.263, October 20223.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC#
Server operating systemsWindowsLinux
OS X
Windows
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 infoprimitive types and user defined types (classes)
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.nonono
Secondary indexesnoyesnono
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
.NET Client API
Supported programming languages.Net
C
C#
C++
VB.Net
JavaJava
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresyes infobased on H2nono
Triggersno, except callback-events from server when changes happenedyesnono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlWindows-Profileyes infobased on H2nono

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More resources
DataFSH2GISSpark SQLSTSdb
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