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DBMS > GridGain vs. HugeGraph vs. ObjectBox vs. OrientDB

System Properties Comparison GridGain vs. HugeGraph vs. ObjectBox vs. OrientDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonObjectBox  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelKey-value store
Relational DBMS
Graph DBMSObject oriented DBMS
Vector DBMS
Document store
Graph DBMS
Key-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitewww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­objectbox
objectbox.io
orientdb.org
Technical documentationwww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docsdocs.objectbox.iowww.orientdb.com/­docs/­last/­index.html
DeveloperGridGain Systems, Inc.BaiduObjectBox LimitedOrientDB LTD; CallidusCloud; SAP
Initial release2007201820172010
Current releaseGridGain 8.5.10.94.0 (May 2024)3.2.29, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Bindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache version 2
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 languageJava, C++, .NetJavaC and C++Java
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Unix
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesyes
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.yesnonono
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoSQL-like query language, no joins
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
Proprietary native APITinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsnoJava, Javascript
Triggersyes (cache interceptors and events)nonoHooks
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBaseData sync between devices allowing occasional connected databases to work completely offlineMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)via hugegraph-sparknono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesyes inforelationship in graphs
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.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers, roles and permissionsyesAccess rights for users and roles; record level security configurable
More information provided by the system vendor
GridGainHugeGraphObjectBoxOrientDB
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