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DBMS > Amazon DocumentDB vs. IBM Cloudant vs. Microsoft Azure AI Search vs. Oracle Berkeley DB

System Properties Comparison Amazon DocumentDB vs. IBM Cloudant vs. Microsoft Azure AI Search vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDatabase as a Service offering based on Apache CouchDBSearch-as-a-service for web and mobile app developmentWidely used in-process key-value store
Primary database modelDocument storeDocument storeSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score2.68
Rank#106  Overall
#20  Document stores
Score5.59
Rank#63  Overall
#7  Search engines
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­documentdbwww.ibm.com/­products/­cloudantazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.ibm.com/­docs/­Cloudantlearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2019201020151994
Current releaseV118.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedhostedhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nononoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnononoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
Java
JavaScript
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptnono
Triggersnoyesnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoatomic operations within a document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes
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.nonoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databaseyes infousing Azure authenticationno

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More resources
Amazon DocumentDBIBM CloudantMicrosoft Azure AI SearchOracle Berkeley DB
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