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DBMS > AllegroGraph vs. HugeGraph vs. Spark SQL vs. Transbase

System Properties Comparison AllegroGraph vs. HugeGraph vs. Spark SQL vs. Transbase

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHugeGraph  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA fast-speed and highly-scalable Graph DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Graph DBMSRelational DBMSRelational 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
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteallegrograph.comgithub.com/­hugegraph
hugegraph.apache.org
spark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlhugegraph.apache.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperFranz Inc.BaiduApache Software FoundationTransaction Software GmbH
Initial release2004201820141987
Current release8.0, December 20230.93.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC and C++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
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 possiblenonono
Secondary indexesyesyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Groovy
Java
Python
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispasynchronous Gremlin script jobsnoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeswith Federationyes infodepending on used storage backend, e.g. Cassandra and HBaseyes, utilizing Spark Core
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 HBasenoneSource-replica replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyes
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.noyesnono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationUsers, roles and permissionsnofine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphHugeGraphSpark SQLTransbase
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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Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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More resources
AllegroGraphHugeGraphSpark SQLTransbase
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