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DBMS > AllegroGraph vs. jBASE vs. Spark SQL vs. Trafodion

System Properties Comparison AllegroGraph vs. jBASE vs. Spark SQL vs. Trafodion

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonjBASE  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 robust multi-value DBMS comprising development tools and middlewareSpark 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
Multivalue DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial 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
#8  Vector DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteallegrograph.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasespark.apache.org/­sqltrafodion.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9spark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperFranz Inc.Rocket Software (formerly Zumasys)Apache Software FoundationApache Software Foundation, originally developed by HP
Initial release2004199120142014
Current release8.0, December 20235.73.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache 2.0Open Source infoApache 2.0
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 languageScalaC++, Java
Server operating systemsLinux
OS X
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Linux
Data schemeyes infoRDF schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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 possibleyesnono
Secondary indexesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Basic
Jabbascript
Java
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispyesnoJava Stored Procedures
Triggersyesyesnono
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
yesnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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 authenticationAccess rights can be defined down to the item levelnofine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphjBASESpark 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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