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DBMS > Microsoft Azure AI Search vs. Netezza vs. RDFox

System Properties Comparison Microsoft Azure AI Search vs. Netezza vs. RDFox

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentData warehouse and analytics appliance part of IBM PureSystemsHigh performance knowledge graph and semantic reasoning engine
Primary database modelSearch engineRelational DBMSGraph DBMS
RDF store
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteazure.microsoft.com/­en-us/­services/­searchwww.ibm.com/­products/­netezzawww.oxfordsemantic.tech
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.oxfordsemantic.tech
DeveloperMicrosoftIBMOxford Semantic Technologies
Initial release201520002017
Current releaseV16.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux infoincluded in applianceLinux
macOS
Windows
Data schemeyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLnoyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OLE DB
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C
Java
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes infousing Azure authenticationUsers with fine-grained authorization conceptRoles, resources, and access types

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More resources
Microsoft Azure AI SearchNetezza infoAlso called PureData System for Analytics by IBMRDFox
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