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DBMS > Cubrid vs. GeoSpock vs. GridGain vs. HugeGraph vs. Percona Server for MongoDB

System Properties Comparison Cubrid vs. GeoSpock vs. GridGain vs. HugeGraph vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPSpatial and temporal data processing engine for extreme data scaleGridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Graph DBMSDocument store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitecubrid.com (korean)
cubrid.org (english)
geospock.comwww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
www.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationcubrid.org/­manualswww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperCUBRID Corporation, CUBRID FoundationGeoSpockGridGain Systems, Inc.BaiduPercona
Initial release2008200720182015
Current release11.0, January 20212.0, September 2019GridGain 8.5.10.93.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2.0Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaJava, JavascriptJava, C++, .NetJavaC++
Server operating systemsLinux
Windows
hostedLinux
OS X
Solaris
Windows
Linux
macOS
Unix
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnono
Secondary indexesyestemporal, categoricalyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsJavaScript
Triggersyesnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)via hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyesyesyes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tableSecurity Hooks for custom implementationsUsers, roles and permissionsAccess rights for users and roles

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More resources
CubridGeoSpockGridGainHugeGraphPercona Server for MongoDB
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