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DBMS > Databricks vs. jBASE vs. Kingbase

System Properties Comparison Databricks vs. jBASE vs. Kingbase

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonjBASE  Xexclude from comparisonKingbase  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A robust multi-value DBMS comprising development tools and middlewareAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelDocument store
Relational DBMS
Multivalue DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Websitewww.databricks.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kingbase.com.cn
Technical documentationdocs.databricks.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperDatabricksRocket Software (formerly Zumasys)BeiJing KINGBASE Information technologies inc.
Initial release201319911999
Current release5.7V8.0, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and Java
Server operating systemshostedAIX
Linux
Windows
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateoptionalyes
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.yesyesyes
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLEmbedded SQL for jBASE in BASICStandard with numerous extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesPython
R
Scala
.Net
Basic
Jabbascript
Java
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesuser defined functions
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
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 integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.noyes
User concepts infoAccess controlAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksjBASEKingbase
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksjBASEKingbase
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