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DBMS > Amazon DocumentDB vs. Microsoft Azure AI Search vs. Pinecone vs. SiteWhere

System Properties Comparison Amazon DocumentDB vs. Microsoft Azure AI Search vs. Pinecone vs. SiteWhere

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPinecone  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSearch-as-a-service for web and mobile app developmentA managed, cloud-native vector databaseM2M integration platform for persisting/querying time series data
Primary database modelDocument storeSearch engineVector DBMSTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score5.52
Rank#59  Overall
#6  Search engines
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteaws.amazon.com/­documentdbazure.microsoft.com/­en-us/­services/­searchwww.pinecone.iogithub.com/­sitewhere/­sitewhere
Technical documentationaws.amazon.com/­documentdb/­resourceslearn.microsoft.com/­en-us/­azure/­searchdocs.pinecone.io/­docs/­overviewsitewhere1.sitewhere.io/­index.html
DeveloperMicrosoftPinecone Systems, IncSiteWhere
Initial release2019201520192010
Current releaseV1
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedhostedLinux
OS X
Windows
Data schemeschema-freeyespredefined 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.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLnononono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIRESTful HTTP APIHTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Python
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnono
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 controlAccess rights for users and rolesyes infousing Azure authenticationUsers with fine-grained authorization concept

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More resources
Amazon DocumentDBMicrosoft Azure AI SearchPineconeSiteWhere
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