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DBMS > AllegroGraph vs. HyperSQL vs. Netezza vs. Quasardb

System Properties Comparison AllegroGraph vs. HyperSQL vs. Netezza vs. Quasardb

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBData warehouse and analytics appliance part of IBM PureSystemsDistributed, high-performance timeseries database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score3.14
Rank#85  Overall
#46  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websiteallegrograph.comhsqldb.orgwww.ibm.com/­products/­netezzaquasar.ai
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldoc.quasar.ai/­master
DeveloperFranz Inc.IBMquasardb
Initial release2004200120002009
Current release8.0, December 20232.7.2, June 20233.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infobased on BSD licensecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux infoincluded in applianceBSD
Linux
OS X
Windows
Data schemeyes infoRDF schemasyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSPARQL is used as query languageyesyesSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
OLE DB
HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBC
Java
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJava, SQLyesno
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptCryptographically strong user authentication and audit trail
More information provided by the system vendor
AllegroGraphHyperSQL infoalso known as HSQLDBNetezza infoAlso called PureData System for Analytics by IBMQuasardb
News

AllegroGraph Named a 2024 Trend Setting Product
16 September 2024

Gartner recognized Franz Inc. as a Key Neuro-Symbolic AI Provider in 2024 Hype Cycle for AI
10 September 2024

Next-Generation Cybersecurity: Integrating Knowledge Graphs and Neuro-Symbolic AI with STIX and TAXII
10 September 2024

Pruning Cycles in UMLS Metathesaurus: A Neuro Symbolic AI Approach
9 September 2024

Podcast – Gartner AI Hype Cycle – Knowledge Graphs and Neuro-Symbolic AI
24 August 2024

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More resources
AllegroGraphHyperSQL infoalso known as HSQLDBNetezza infoAlso called PureData System for Analytics by IBMQuasardb
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1 August 2023, The Register

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