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DBMS > Cubrid vs. Ingres vs. mSQL vs. RethinkDB vs. Spark SQL

System Properties Comparison Cubrid vs. Ingres vs. mSQL vs. RethinkDB vs. Spark SQL

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonIngres  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRethinkDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPWell established RDBMSmSQL (Mini SQL) is a simple and lightweight RDBMSDBMS for the Web with a mechanism to push updated query results to applications in realtime.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.actian.com/­databases/­ingreshughestech.com.au/­products/­msqlrethinkdb.comspark.apache.org/­sql
Technical documentationcubrid.org/­manualsdocs.actian.com/­ingresrethinkdb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCUBRID Corporation, CUBRID FoundationActian CorporationHughes TechnologiesThe Linux Foundation infosince July 2017Apache Software Foundation
Initial release20081974 infooriginally developed at University Berkely in early 1970s199420092014
Current release11.0, January 202111.2, May 20224.4, October 20212.4.1, August 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree licenses can be providedOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaCCC++Scala
Server operating systemsLinux
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometryyes
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.nono infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresyesnono
TriggersyesyesnoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslynoneSharding inforange basedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationIngres ReplicatornoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCnoyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoyes infousers and table-level permissionsno

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More resources
CubridIngresmSQL infoMini SQLRethinkDBSpark SQL
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