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DBMS > AllegroGraph vs. Oracle NoSQL vs. RDFox vs. Spark SQL vs. Trafodion

System Properties Comparison AllegroGraph vs. Oracle NoSQL vs. RDFox vs. Spark SQL vs. Trafodion

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonRDFox  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesHigh performance knowledge graph and semantic reasoning engineSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Key-value store
Relational DBMS
Graph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational 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
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteallegrograph.comwww.oracle.com/­database/­nosql/­technologies/­nosqlwww.oxfordsemantic.techspark.apache.org/­sqltrafodion.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmldocs.oxfordsemantic.techspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperFranz Inc.OracleOxford Semantic TechnologiesApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20042011201720142014
Current release8.0, December 202323.3, December 20236.0, Septermber 20223.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ScalaC++, Java
Server operating systemsLinux
OS X
Windows
Linux
Solaris SPARC/x86
Linux
macOS
Windows
Linux
OS X
Windows
Linux
Data schemeyes infoRDF schemasSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsnoSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIRESTful HTTP API
SPARQL 1.1
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
C
Java
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnonoJava Stored Procedures
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Electable source-replica replication per shard. Support distributed global deployment with Multi-region table featurereplication via a shared file systemnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDconfigurable infoACID within a storage node (=shard)ACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cacheyesnono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolesRoles, resources, and access typesnofine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphOracle NoSQLRDFoxSpark SQLTrafodion
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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