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DBMS > Cubrid vs. Google Cloud Datastore vs. KairosDB vs. MonetDB vs. Trafodion

System Properties Comparison Cubrid vs. Google Cloud Datastore vs. KairosDB vs. MonetDB vs. Trafodion

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonKairosDB  Xexclude from comparisonMonetDB  Xexclude from comparisonTrafodion  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 OLTPAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDistributed Time Series DBMS based on Cassandra or H2A relational database management system that stores data in columnsTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
cloud.google.com/­datastoregithub.com/­kairosdb/­kairosdbwww.monetdb.orgtrafodion.apache.org
Technical documentationcubrid.org/­manualscloud.google.com/­datastore/­docskairosdb.github.iowww.monetdb.org/­Documentationtrafodion.apache.org/­documentation.html
DeveloperCUBRID Corporation, CUBRID FoundationGoogleMonetDB BVApache Software Foundation, originally developed by HP
Initial release20082008201320042014
Current release11.0, January 20211.2.2, November 2018Dec2023 (11.49), December 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaJavaCC++, Java
Server operating systemsLinux
Windows
hostedLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query language (GQL)noyes infoSQL 2003 with some extensionsyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Graphite protocol
HTTP REST
Telnet API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresJava Stored Proceduresusing Google App Enginenoyes, in SQL, C, RJava Stored Procedures
TriggersyesCallbacks using the Google Apps Enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosselectable replication factor infobased on Cassandranone infoSource-replica replication available in experimental statusyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
CubridGoogle Cloud DatastoreKairosDBMonetDBTrafodion
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