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DBMS > Kingbase vs. Sadas Engine vs. SAP Adaptive Server vs. Spark SQL

System Properties Comparison Kingbase vs. Sadas Engine vs. SAP Adaptive Server vs. Spark SQL

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Editorial information provided by DB-Engines
NameKingbase  Xexclude from comparisonSadas Engine  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score36.31
Rank#25  Overall
#17  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.kingbase.com.cnwww.sadasengine.comwww.sap.com/­products/­technology-platform/­sybase-ase.htmlspark.apache.org/­sql
Technical documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationhelp.sap.com/­docs/­SAP_ASEspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBeiJing KINGBASE Information technologies inc.SADAS s.r.l.SAP, SybaseApache Software Foundation
Initial release1999200619872014
Current releaseV8.0, August 20218.016.03.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialOpen Source infoApache 2.0
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 languageC and JavaC++C and C++Scala
Server operating systemsLinux
Windows
AIX
Linux
Windows
AIX
HP-UX
Linux
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
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.yesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLStandard with numerous extensionsyesyesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Cobol
Java
Java
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoJava and Transact-SQLno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioninghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
KingbaseSadas EngineSAP Adaptive Server infoformer name: Sybase ASESpark SQL
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