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DBMS > GridDB vs. GridGain vs. Heroic vs. IBM Cloudant vs. Kingbase

System Properties Comparison GridDB vs. GridGain vs. Heroic vs. IBM Cloudant vs. Kingbase

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonGridGain  Xexclude from comparisonHeroic  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKingbase  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataGridGain is an in-memory computing platform, built on Apache IgniteTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDatabase as a Service offering based on Apache CouchDBAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Time Series DBMSDocument storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Websitegriddb.netwww.gridgain.comgithub.com/­spotify/­heroicwww.ibm.com/­products/­cloudantwww.kingbase.com.cn
Technical documentationdocs.griddb.netwww.gridgain.com/­docs/­index.htmlspotify.github.io/­heroiccloud.ibm.com/­docs/­Cloudant
DeveloperToshiba CorporationGridGain Systems, Inc.SpotifyIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014BeiJing KINGBASE Information technologies inc.
Initial release20132007201420101999
Current release5.1, August 2022GridGain 8.5.1V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoApache 2.0commercialcommercial
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++Java, C++, .NetJavaErlangC and Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
hostedLinux
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesnoyes
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.noyesnonoyes
Secondary indexesyesyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)ANSI-99 for query and DML statements, subset of DDLnonoStandard with numerous extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP/JSON APIADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noView functions (Map-Reduce) in JavaScriptuser defined functions
Triggersyesyes (cache interceptors and events)noyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)yesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes (compute grid and hadoop accelerator)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDnono infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
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.yesyesnono
User concepts infoAccess controlAccess rights for users can be defined per databaseSecurity Hooks for custom implementationsAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBGridGainHeroicIBM CloudantKingbase
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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GridDBGridGainHeroicIBM CloudantKingbase
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