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DBMS > DataFS vs. FeatureBase vs. Infobright

System Properties Comparison DataFS vs. FeatureBase vs. Infobright

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFeatureBase  Xexclude from comparisonInfobright  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.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend
Primary database modelObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#384  Overall
#21  Object oriented DBMS
Score0.45
Rank#284  Overall
#128  Relational DBMS
Score1.62
Rank#165  Overall
#78  Relational DBMS
Websitenewdatabase.comwww.featurebase.comignitetech.com/­softwarelibrary/­infobrightdb
Technical documentationdev.mobiland.com/­Overview.xspdocs.featurebase.com
DeveloperMobiland AGMolecula and Pilosa Open Source ContributorsIgnite Technologies Inc.; formerly InfoBright Inc.
Initial release201820172005
Current release1.1.263, October 20222022, May 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC
Server operating systemsWindowsLinux
macOS
Linux
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnonono infoKnowledge Grid Technology used instead
SQL infoSupport of SQLnoSQL queriesyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
gRPC
JDBC
Kafka Connector
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
Java
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresno
Triggersno, except callback-events from server when changes happenednono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilities

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More resources
DataFSFeatureBaseInfobright
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