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DBMS > Cubrid vs. Datomic vs. Google Cloud Bigtable vs. OrigoDB vs. RDF4J

System Properties Comparison Cubrid vs. Datomic vs. Google Cloud Bigtable vs. OrigoDB vs. RDF4J

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOrigoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A fully ACID in-memory object graph databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Document store
Object oriented DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score0.72
Rank#222  Overall
#9  RDF stores
Websitecubrid.com (korean)
cubrid.org (english)
www.datomic.comcloud.google.com/­bigtableorigodb.comrdf4j.org
Technical documentationcubrid.org/­manualsdocs.datomic.comcloud.google.com/­bigtable/­docsorigodb.com/­docsrdf4j.org/­documentation
DeveloperCUBRID Corporation, CUBRID FoundationCognitectGoogleRobert Friberg et alSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2008201220152009 infounder the name LiveDB2004
Current release11.0, January 20211.0.7180, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freecommercialOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJava, ClojureC#Java
Server operating systemsLinux
Windows
All OS with a Java VMhostedLinux
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesnoUser defined using .NET types and collectionsyes
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 infocan be achieved using .NET
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesnononono
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
HTTP API
LINQ
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Clojure
Java
C#
C++
Go
Java
JavaScript (Node.js)
Python
.NetJava
PHP
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyes infoTransaction Functionsnoyesyes
TriggersyesBy using transaction functionsnoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyesnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoWrite ahead logyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role based authorizationno

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More resources
CubridDatomicGoogle Cloud BigtableOrigoDBRDF4J infoformerly known as Sesame
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