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DBMS > Microsoft Azure AI Search vs. MonetDB vs. Pinecone vs. SiteWhere

System Properties Comparison Microsoft Azure AI Search vs. MonetDB vs. Pinecone vs. SiteWhere

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonMonetDB  Xexclude from comparisonPinecone  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentA relational database management system that stores data in columnsA managed, cloud-native vector databaseM2M integration platform for persisting/querying time series data
Primary database modelSearch engineRelational DBMSVector DBMSTime Series DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.75
Rank#58  Overall
#7  Search engines
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchwww.monetdb.orgwww.pinecone.iogithub.com/­sitewhere/­sitewhere
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchwww.monetdb.org/­Documentationdocs.pinecone.io/­docs/­overviewsitewhere1.sitewhere.io/­index.html
DeveloperMicrosoftMonetDB BVPinecone Systems, IncSiteWhere
Initial release2015200420192010
Current releaseV1Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsnono
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
RESTful HTTP APIHTTP REST
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Python
Server-side scripts infoStored proceduresnoyes, in SQL, C, R
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding via remote tablesSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone infoSource-replica replication available in experimental statusselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.nonono
User concepts infoAccess controlyes infousing Azure authenticationfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Microsoft Azure AI SearchMonetDBPineconeSiteWhere
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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