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DBMS > Cubrid vs. Drizzle vs. Google Cloud Bigtable vs. PostgreSQL

System Properties Comparison Cubrid vs. Drizzle vs. Google Cloud Bigtable vs. PostgreSQL

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonPostgreSQL  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#160  Overall
#76  Relational DBMS
Score4.26
Rank#86  Overall
#14  Key-value stores
#6  Wide column stores
Score615.29
Rank#4  Overall
#4  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
cloud.google.com/­bigtablewww.postgresql.org
Technical documentationcubrid.org/­manualscloud.google.com/­bigtable/­docswww.postgresql.org/­docs
DeveloperCUBRID Corporation, CUBRID FoundationDrizzle project, originally started by Brian AkerGooglePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2008200820151989 info1989: Postgres, 1996: PostgreSQL
Current release11.0, January 20217.2.4, September 201214.3, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++C
Server operating systemsLinux
Windows
FreeBSD
Linux
OS X
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoyes infostandard with numerous extensions
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
PHP
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACID
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.nonono
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)fine grained access rights according to SQL-standard

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CubridDrizzleGoogle Cloud BigtablePostgreSQL
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