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DBMS > AllegroGraph vs. HugeGraph vs. Interbase vs. TigerGraph

System Properties Comparison AllegroGraph vs. HugeGraph vs. Interbase vs. TigerGraph

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHugeGraph  Xexclude from comparisonInterbase  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA fast-speed and highly-scalable Graph DBMSLight-weight proven RDBMS infooriginally from BorlandA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Graph DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteallegrograph.comgithub.com/­hugegraph
hugegraph.apache.org
www.embarcadero.com/­products/­interbasewww.tigergraph.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlhugegraph.apache.org/­docsdocs.embarcadero.com/­products/­interbasedocs.tigergraph.com
DeveloperFranz Inc.BaiduEmbarcadero
Initial release2004201819842017
Current release8.0, December 20230.9InterBase 2020, December 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0commercialcommercial
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 languageJavaCC++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
Android
iOS
Linux
OS X
Windows
Linux
Data schemeyes infoRDF schemasyesyesyes
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 infoexport as XML data possibleno
Secondary indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSPARQL is used as query languagenoyesSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Groovy
Java
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispasynchronous Gremlin script jobsyes infoInterbase procedure and trigger languageyes
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeswith Federationyes infodepending on used storage backend, e.g. Cassandra and HBasenone
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 HBaseInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
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.noyesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationUsers, roles and permissionsfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
AllegroGraphHugeGraphInterbaseTigerGraph
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
News

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3 April 2024

Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar)
9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

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More resources
AllegroGraphHugeGraphInterbaseTigerGraph
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