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DBMS > Amazon DocumentDB vs. Amazon SimpleDB vs. Microsoft Azure AI Search vs. SQream DB vs. Yaacomo

System Properties Comparison Amazon DocumentDB vs. Amazon SimpleDB vs. Microsoft Azure AI Search vs. SQream DB vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSQream DB  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 serviceHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreSearch-as-a-service for web and mobile app developmenta GPU-based, columnar RDBMS for big data analytics workloadsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeKey-value storeSearch engineRelational DBMSRelational 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
Score1.88
Rank#133  Overall
#23  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteaws.amazon.com/­documentdbaws.amazon.com/­simpledbazure.microsoft.com/­en-us/­services/­searchsqream.comyaacomo.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­simpledblearn.microsoft.com/­en-us/­azure/­searchdocs.sqream.com
DeveloperAmazonMicrosoftSQream TechnologiesQ2WEB GmbH
Initial release20192007201520172009
Current releaseV12022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, CUDA, Haskell, Java, Scala
Server operating systemshostedhostedhostedLinuxAndroid
Linux
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI Standard SQL Typesyes
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 indexesyesyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIRESTful HTTP API.Net
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononouser defined functions in Python
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationSharding infoImplicit feature of the cloud servicehorizontal and vertical partitioninghorizontal 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 servicenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoConcurrent data updates can be detected by the applicationnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBAmazon SimpleDBMicrosoft Azure AI SearchSQream DBYaacomo
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Recent citations in the news

AWS announces Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service
16 May 2024, AWS Blog

A hybrid approach for homogeneous migration to an Amazon DocumentDB elastic cluster | Amazon Web Services
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Use headless clusters in Amazon DocumentDB for cost-effective multi-Region resiliency | Amazon Web Services
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A Place for Everything – Amazon SimpleDB | AWS News Blog
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12 November 2013, TechCrunch

An Overview of Amazon Web Services - Cloud Application Architectures [Book]
22 September 2018, O'Reilly Media

Amazon SimpleDB Management in Eclipse | AWS News Blog
22 July 2009, AWS Blog

Good Advice on Keeping Your Database Simple and Fast.
25 March 2009, All Things Distributed

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5 October 2023, fierce-network.com

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9 February 2024, insideBIGDATA

SQream Joins Samsung Cloud Platform Ecosystem
26 July 2023, Datanami

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

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30 May 2018, The Times of Israel

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