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DBMS > 4D vs. InterSystems Caché vs. Spark SQL vs. Transwarp KunDB

System Properties Comparison 4D vs. InterSystems Caché vs. Spark SQL vs. Transwarp KunDB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionApplication development environment with integrated database management systemA multi-model DBMS and application serverSpark SQL is a component on top of 'Spark Core' for structured data processingOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitewww.4d.comwww.intersystems.com/­products/­cachespark.apache.org/­sqlwww.transwarp.cn/­en/­product/­kundb
Technical documentationdeveloper.4d.comdocs.intersystems.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
Developer4D, IncInterSystemsApache Software FoundationTranswarp
Initial release198419972014
Current releasev20, April 20232018.1.4, May 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemsOS X
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesdepending on used data modelyesyes
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.yesyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92yesSQL-like DML and DDL statementsyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
C#
C++
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyesnoyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnone
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 integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.noyesno
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and rolesnoyes

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More resources
4D infoformer name: 4th DimensionInterSystems CachéSpark SQLTranswarp KunDB
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