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DBMS > Amazon DocumentDB vs. MarkLogic vs. Microsoft Azure AI Search vs. Yaacomo

System Properties Comparison Amazon DocumentDB vs. MarkLogic vs. Microsoft Azure AI Search vs. Yaacomo

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOperational and transactional Enterprise NoSQL databaseSearch-as-a-service for web and mobile app developmentOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineRelational DBMS
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
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Websiteaws.amazon.com/­documentdbwww.marklogic.comazure.microsoft.com/­en-us/­services/­searchyaacomo.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.marklogic.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperMarkLogic Corp.MicrosoftQ2WEB GmbH
Initial release2019200120152009
Current release11.0, December 2022V1
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercialcommercial
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 languageC++
Server operating systemshostedLinux
OS X
Windows
hostedAndroid
Linux
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infoSQL92noyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIJDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptno
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes 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)yes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infocan act as a resource manager in an XA/JTA transactionnoACID
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.yes, with Range Indexesnoyes
User concepts infoAccess controlAccess rights for users and rolesRole-based access control at the document and subdocument levelsyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBMarkLogicMicrosoft Azure AI SearchYaacomo
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