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DBMS > Cubrid vs. Google Cloud Bigtable vs. Google Cloud Spanner vs. PouchDB

System Properties Comparison Cubrid vs. Google Cloud Bigtable vs. Google Cloud Spanner vs. PouchDB

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.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.JavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Websitecubrid.com (korean)
cubrid.org (english)
cloud.google.com/­bigtablecloud.google.com/­spannerpouchdb.com
Technical documentationcubrid.org/­manualscloud.google.com/­bigtable/­docscloud.google.com/­spanner/­docspouchdb.com/­guides
DeveloperCUBRID Corporation, CUBRID FoundationGoogleGoogleApache Software Foundation
Initial release2008201520172012
Current release11.0, January 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJavaScript
Server operating systemsLinux
Windows
hostedhostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesyesnoyesyes infovia views
SQL infoSupport of SQLyesnoyes infoQuery statements complying to ANSI 2011no
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresJava Stored ProceduresnonoView functions in JavaScript
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication with 3 replicas for regional instances.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflowyes
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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes 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 dataACIDAtomic single-row operationsACID infoStrict serializable isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
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)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
CubridGoogle Cloud BigtableGoogle Cloud SpannerPouchDB
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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