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DBMS > JaguarDB vs. Kingbase vs. Spark SQL

System Properties Comparison JaguarDB vs. Kingbase vs. Spark SQL

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Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonKingbase  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value store
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.jaguardb.comwww.kingbase.com.cnspark.apache.org/­sql
Technical documentationwww.jaguardb.com/­support.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDataJaguar, Inc.BeiJing KINGBASE Information technologies inc.Apache Software Foundation
Initial release201519992014
Current release3.3 July 2023V8.0, August 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercialOpen Source infoApache 2.0
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 languageC++ infothe server part. Clients available in other languagesC and JavaScala
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows
Data schemeyesyesyes
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersStandard with numerous extensionsSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardno

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JaguarDBKingbaseSpark SQL
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