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DBMS > Apache IoTDB vs. Kingbase vs. mSQL vs. Percona Server for MongoDB

System Properties Comparison Apache IoTDB vs. Kingbase vs. mSQL vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonKingbase  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.mSQL (Mini SQL) is a simple and lightweight RDBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websiteiotdb.apache.orgwww.kingbase.com.cnhughestech.com.au/­products/­msqlwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software FoundationBeiJing KINGBASE Information technologies inc.Hughes TechnologiesPercona
Initial release2018199919942015
Current release1.1.0, April 2023V8.0, August 20214.4, October 20213.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree licenses can be providedOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and JavaCC++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesyesyesschema-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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageStandard with numerous extensionsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsJDBC
Native API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
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 proceduresyesuser defined functionsnoJavaScript
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning (by range, list and hash) and vertical partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencynoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.yesnoyes infovia In-Memory Engine
User concepts infoAccess controlyesfine grained access rights according to SQL-standardnoAccess rights for users and roles

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More resources
Apache IoTDBKingbasemSQL infoMini SQLPercona Server for MongoDB
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