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DBMS > Cubrid vs. Drizzle vs. Google Cloud Spanner vs. RDF4J vs. SQream DB

System Properties Comparison Cubrid vs. Drizzle vs. Google Cloud Spanner vs. RDF4J vs. SQream DB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSQream DB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSRelational DBMSRelational DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
cloud.google.com/­spannerrdf4j.orgsqream.com
Technical documentationcubrid.org/­manualscloud.google.com/­spanner/­docsrdf4j.org/­documentationdocs.sqream.com
DeveloperCUBRID Corporation, CUBRID FoundationDrizzle project, originally started by Brian AkerGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SQream Technologies
Initial release20082008201720042017
Current release11.0, January 20217.2.4, September 20122022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++JavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
Windows
FreeBSD
Linux
OS X
hostedLinux
OS X
Unix
Windows
Linux
Data schemeyesyesyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesyes, ANSI Standard SQL Types
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.nono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyes infowith proprietary extensionsyes infoQuery statements complying to ANSI 2011noyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBCgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
.Net
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
PHP
Go
Java
JavaScript (Node.js)
Python
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnonoyesuser defined functions in Python
Triggersyesno infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication with 3 replicas for regional instances.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoStrict serializable isolationACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
CubridDrizzleGoogle Cloud SpannerRDF4J infoformerly known as SesameSQream DB
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