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DBMS > Amazon DocumentDB vs. Microsoft Azure Search

System Properties Comparison Amazon DocumentDB vs. Microsoft Azure Search

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Our visitors often compare Amazon DocumentDB and Microsoft Azure Search with Elasticsearch, Microsoft Azure Cosmos DB and Redis.

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSearch-as-a-service for web and mobile app development
Primary database modelDocument storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.80
Rank#132  Overall
#23  Document stores
Score7.54
Rank#59  Overall
#6  Search engines
Websiteaws.amazon.com/­documentdbazure.microsoft.com/­en-us/­services/­search
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.microsoft.com/­en-us/­azure/­search
DeveloperMicrosoft
Initial release20192015
Current releaseV1
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C#
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud service
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 service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesyes infousing Azure authentication

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More resources
Amazon DocumentDBMicrosoft Azure Search
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
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Recent citations in the news

AWS DocumentDB not MongoDB-compatible, says MongoDB Inc
6 December 2021, The Register

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

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12 April 2022, Database Trends and Applications

AWS-MongoDB Deal Favors Collaboration Over Competition
15 March 2022, CRN

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22 December 2021, TechTarget

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