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DBMS > Cubrid vs. GridDB vs. Rockset vs. YDB

System Properties Comparison Cubrid vs. GridDB vs. Rockset vs. YDB

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGridDB  Xexclude from comparisonRockset  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPScalable in-memory time series database optimized for IoT and Big DataA scalable, reliable search and analytics service in the cloud, built on RocksDBA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSTime Series DBMSDocument storeDocument store
Relational DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
griddb.netrockset.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcubrid.org/­manualsdocs.griddb.netdocs.rockset.comydb.tech/­en/­docs
DeveloperCUBRID Corporation, CUBRID FoundationToshiba CorporationRocksetYandex
Initial release2008201320192019
Current release11.0, January 20215.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoApache 2.0; commercial license available
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
LinuxhostedLinux
Data schemeyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampdynamic typingyes
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.nonono infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)Read-only SQL queries, including JOINsSQL-like query language (YQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP RESTRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnonono
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelnoACID
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseAccess rights for users and organizations can be defined via Rockset consoleAccess rights defined for Yandex Cloud users
More information provided by the system vendor
CubridGridDBRocksetYDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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CubridGridDBRocksetYDB
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