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DBMS > Cubrid vs. searchxml vs. Spark SQL vs. Valentina Server

System Properties Comparison Cubrid vs. searchxml vs. Spark SQL vs. Valentina Server

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonsearchxml  Xexclude from comparisonSpark SQL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDBMS for structured and unstructured content wrapped with an application serverSpark SQL is a component on top of 'Spark Core' for structured data processingObject-relational database and reports server
Primary database modelRelational DBMSNative XML DBMS
Search engine
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.searchxml.net/­category/­productsspark.apache.org/­sqlwww.valentina-db.net
Technical documentationcubrid.org/­manualswww.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperCUBRID Corporation, CUBRID Foundationinformationpartners gmbhApache Software FoundationParadigma Software
Initial release2008201520141999
Current release11.0, January 20211.03.5.0 ( 2.13), September 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial
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, C++, JavaC++Scala
Server operating systemsLinux
Windows
WindowsLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
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.noyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infomost other programming languages supported via APIsJava
Python
R
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresJava Stored Proceduresyes infoon the application servernoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application servicesnofine grained access rights according to SQL-standard

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More resources
CubridsearchxmlSpark SQLValentina Server
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