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DBMS > Cubrid vs. GridDB vs. Kyligence Enterprise vs. PlanetScale vs. SwayDB

System Properties Comparison Cubrid vs. GridDB vs. Kyligence Enterprise vs. PlanetScale vs. SwayDB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGridDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonPlanetScale  Xexclude from comparisonSwayDB  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 distributed analytics engine for big data, built on top of Apache KylinScalable, distributed, serverless MySQL database platform built on top of VitessAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
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
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitecubrid.com (korean)
cubrid.org (english)
griddb.netkyligence.io/­kyligence-enterpriseplanetscale.comswaydb.simer.au
Technical documentationcubrid.org/­manualsdocs.griddb.netplanetscale.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationToshiba CorporationKyligence, Inc.PlanetScaleSimer Plaha
Initial release20082013201620202018
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 availablecommercialcommercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC++JavaGoScala
Server operating systemsLinux
Windows
LinuxLinuxDocker
Linux
macOS
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesno
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 indexesyesyesyesyesno
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)ANSI SQL for queries (using Apache Calcite)yes infowith proprietary extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Kotlin
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes infoproprietary syntaxno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACID at shard levelAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseUsers with fine-grained authorization concept infono user groups or rolesno
More information provided by the system vendor
CubridGridDBKyligence EnterprisePlanetScaleSwayDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
CubridGridDBKyligence EnterprisePlanetScaleSwayDB
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