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DBMS > AllegroGraph vs. Graph Engine vs. HugeGraph vs. YottaDB

System Properties Comparison AllegroGraph vs. Graph Engine vs. HugeGraph vs. YottaDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHugeGraph  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA fast-speed and highly-scalable Graph DBMSA fast and solid embedded Key-value store
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Graph DBMS
Key-value store
Graph DBMSKey-value store
Secondary database modelsSpatial DBMSRelational DBMS infousing the Octo plugin
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
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteallegrograph.comwww.graphengine.iogithub.com/­hugegraph
hugegraph.apache.org
yottadb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.graphengine.io/­docs/­manualhugegraph.apache.org/­docsyottadb.com/­resources/­documentation
DeveloperFranz Inc.MicrosoftBaiduYottaDB, LLC
Initial release2004201020182001
Current release8.0, December 20230.9
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaC
Server operating systemsLinux
OS X
Windows
.NETLinux
macOS
Unix
Docker
Linux
Data schemeyes infoRDF schemasyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexno
SQL infoSupport of SQLSPARQL is used as query languagenonoby using the Octo plugin
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
F#
Visual Basic
Groovy
Java
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesasynchronous Gremlin script jobs
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBase
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 HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationUsers, roles and permissionsUsers and groups based on OS-security mechanisms
More information provided by the system vendor
AllegroGraphGraph Engine infoformer name: TrinityHugeGraphYottaDB
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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