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DBMS > AgensGraph vs. BoltDB vs. Cubrid vs. GridGain

System Properties Comparison AgensGraph vs. BoltDB vs. Cubrid vs. GridGain

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBoltDB  Xexclude from comparisonCubrid  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAn embedded key-value store for Go.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelGraph DBMS
Relational DBMS
Key-value storeRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websitebitnine.net/­agensgraphgithub.com/­boltdb/­boltcubrid.com (korean)
cubrid.org (english)
www.gridgain.com
Technical documentationbitnine.net/­documentationcubrid.org/­manualswww.gridgain.com/­docs/­index.html
DeveloperBitnine Global Inc.CUBRID Corporation, CUBRID FoundationGridGain Systems, Inc.
Initial release2016201320082007
Current release2.1, December 201811.0, January 2021GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC, C++, JavaJava, C++, .Net
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
ODBC
OLE DB
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC
Java
JavaScript
Python
GoC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)
Triggersnonoyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardSecurity Hooks for custom implementations

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More resources
AgensGraphBoltDBCubridGridGain
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