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DBMS > AllegroGraph vs. Cubrid vs. GigaSpaces vs. GridGain

System Properties Comparison AllegroGraph vs. Cubrid vs. GigaSpaces vs. GridGain

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonCubrid  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Websiteallegrograph.comcubrid.com (korean)
cubrid.org (english)
www.gigaspaces.comwww.gridgain.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcubrid.org/­manualsdocs.gigaspaces.com/­latest/­landing.htmlwww.gridgain.com/­docs/­index.html
DeveloperFranz Inc.CUBRID Corporation, CUBRID FoundationGigaspaces TechnologiesGridGain Systems, Inc.
Initial release2004200820002007
Current release8.0, December 202311.0, January 202115.5, September 2020GridGain 8.5.1
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercial
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 languageC, C++, JavaJava, C++, .NetJava, C++, .Net
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infobulk load of XML files possiblenono infoXML can be used for describing objects metadatayes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesSQL-99 for query and DML statementsANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJava Stored Proceduresyesyes (compute grid and cache interceptors can be used instead)
Triggersyesyesyes, event driven architectureyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.nonoyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardRole-based access controlSecurity Hooks for custom implementations
More information provided by the system vendor
AllegroGraphCubridGigaSpacesGridGain
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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