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DBMS > AllegroGraph vs. OpenEdge vs. Spark SQL vs. Trafodion vs. Transwarp Hippo

System Properties Comparison AllegroGraph vs. OpenEdge vs. Spark SQL vs. Trafodion vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonOpenEdge  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparisonTranswarp Hippo  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 DBMSApplication development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMSCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSRelational DBMSVector 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
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websiteallegrograph.comwww.progress.com/­openedgespark.apache.org/­sqltrafodion.apache.orgwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperFranz Inc.Progress Software CorporationApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20041984201420142023
Current release8.0, December 2023OpenEdge 12.2, March 20203.5.0 ( 2.13), September 20232.3.0, February 20191.0, May 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial
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 languageScalaC++, JavaC++
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
LinuxLinux
macOS
Data schemeyes infoRDF schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesVector, Numeric and String
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 possibleyesnonono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSPARQL is used as query languageyes infoclose to SQL 92SQL-like DML and DDL statementsyesno
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Progress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.NetC++
Java
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispyesnoJava Stored Proceduresno
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioning infosince Version 11.4yes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonononoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationUsers and groupsnofine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
AllegroGraphOpenEdgeSpark SQLTrafodionTranswarp Hippo
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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17 April 2024

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3 April 2024

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9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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More resources
AllegroGraphOpenEdgeSpark SQLTrafodionTranswarp Hippo
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