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DBMS > DataFS vs. Kinetica vs. Kingbase vs. Percona Server for MongoDB

System Properties Comparison DataFS vs. Kinetica vs. Kingbase vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonKinetica  Xexclude from comparisonKingbase  Xexclude from comparisonPercona Server for MongoDB  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.Fully vectorized database across both GPUs and CPUsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMSSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitenewdatabase.comwww.kinetica.comwww.kingbase.com.cnwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdev.mobiland.com/­Overview.xspdocs.kinetica.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperMobiland AGKineticaBeiJing KINGBASE Information technologies inc.Percona
Initial release2018201219992015
Current release1.1.263, October 20227.1, August 2021V8.0, August 20213.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C and JavaC++
Server operating systemsWindowsLinuxLinux
Windows
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesschema-free
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.nonoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsStandard with numerous extensionsno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
proprietary protocol using JSON
Supported programming languages.Net
C
C#
C++
VB.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsJavaScript
Triggersno, except callback-events from server when changes happenedyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infoGPU vRAM or System RAMyes infovia In-Memory Engine
User concepts infoAccess controlWindows-ProfileAccess rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
DataFSKineticaKingbasePercona Server for MongoDB
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