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DBMS > AllegroGraph vs. Coveo vs. HEAVY.AI vs. Netezza

System Properties Comparison AllegroGraph vs. Coveo vs. HEAVY.AI vs. Netezza

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonCoveo  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Search engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial 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
Score2.11
Rank#118  Overall
#11  Search engines
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websiteallegrograph.comwww.coveo.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­netezza
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.coveo.comdocs.heavy.ai
DeveloperFranz Inc.CoveoHEAVY.AI, Inc.IBM
Initial release2004201220162000
Current release8.0, December 20235.10, January 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDA
Server operating systemsLinux
OS X
Windows
hostedLinuxLinux infoincluded in appliance
Data schemeyes infoRDF schemashybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
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 possiblenono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languagenoyesyes
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIJDBC
ODBC
Thrift
Vega
JDBC
ODBC
OLE DB
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonoyes
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationyesSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
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 dataACIDyesnoACID
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.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardUsers with fine-grained authorization concept
More information provided by the system vendor
AllegroGraphCoveoHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Netezza infoAlso called PureData System for Analytics by IBM
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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