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DBMS > AllegroGraph vs. HugeGraph vs. ObjectBox vs. Yanza

System Properties Comparison AllegroGraph vs. HugeGraph vs. ObjectBox vs. Yanza

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHugeGraph  Xexclude from comparisonObjectBox  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA fast-speed and highly-scalable Graph DBMSLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsTime Series DBMS for IoT Applications
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Graph DBMSObject oriented DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsSpatial DBMSTime Series DBMS
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
#9  Vector DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Websiteallegrograph.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­objectbox
objectbox.io
yanza.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlhugegraph.apache.org/­docsdocs.objectbox.io
DeveloperFranz Inc.BaiduObjectBox LimitedYanza
Initial release2004201820172015
Current release8.0, December 20230.94.0 (May 2024)
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Bindings are released under Apache 2.0 infoApache License 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Windows
Data schemeyes infoRDF schemasyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesno
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 possiblenonono
Secondary indexesyesyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLSPARQL is used as query languagenonono
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
RESTful HTTP API
TinkerPop Gremlin
Proprietary native APIHTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Groovy
Java
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispasynchronous Gremlin script jobsnono
Triggersyesnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeswith Federationyes infodepending on used storage backend, e.g. Cassandra and HBasenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseData sync between devices allowing occasional connected databases to work completely offlinenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationUsers, roles and permissionsyesno
More information provided by the system vendor
AllegroGraphHugeGraphObjectBoxYanza
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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More resources
AllegroGraphHugeGraphObjectBoxYanza
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