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DBMS > Cubrid vs. Spark SQL vs. Trafodion vs. Typesense

System Properties Comparison Cubrid vs. Spark SQL vs. Trafodion vs. Typesense

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparisonTypesense  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMSA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websitecubrid.com (korean)
cubrid.org (english)
spark.apache.org/­sqltrafodion.apache.orgtypesense.org
Technical documentationcubrid.org/­manualsspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.htmltypesense.org/­docs
DeveloperCUBRID Corporation, CUBRID FoundationApache Software FoundationApache Software Foundation, originally developed by HP
Initial release2008201420142015
Current release11.0, January 20213.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaScalaC++, JavaC++
Server operating systemsLinux
Windows
Linux
OS X
Windows
LinuxLinux
Data schemeyesyesyesschema-free infopre-defined schema optional
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresJava Stored ProceduresnoJava Stored Proceduresno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes, via HBaseMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
CubridSpark SQLTrafodionTypesense
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