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DBMS > Cubrid vs. Sadas Engine vs. TimesTen vs. Yaacomo

System Properties Comparison Cubrid vs. Sadas Engine vs. TimesTen vs. Yaacomo

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonSadas Engine  Xexclude from comparisonTimesTen  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsIn-Memory RDBMS compatible to OracleOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.sadasengine.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlyaacomo.com
Technical documentationcubrid.org/­manualswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.oracle.com/­database/­timesten-18.1
DeveloperCUBRID Corporation, CUBRID FoundationSADAS s.r.l.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Q2WEB GmbH
Initial release2008200619982009
Current release11.0, January 20218.011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree trial version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++
Server operating systemsLinux
Windows
AIX
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Android
Linux
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresJava Stored ProceduresnoPL/SQL
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'yesyes
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-standardfine grained access rights according to SQL-standard

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