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DBMS > Amazon SimpleDB vs. Hive vs. Microsoft Azure AI Search

System Properties Comparison Amazon SimpleDB vs. Hive vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward Scioredata warehouse software for querying and managing large distributed datasets, built on HadoopSearch-as-a-service for web and mobile app development
Primary database modelKey-value storeRelational DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#139  Overall
#24  Key-value stores
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Websiteaws.amazon.com/­simpledbhive.apache.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.aws.amazon.com/­simpledbcwiki.apache.org/­confluence/­display/­Hive/­Homelearn.microsoft.com/­en-us/­azure/­search
DeveloperAmazonApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release200720122015
Current release3.1.3, April 2022V1
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedAll OS with a Java VMhosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.no
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and rolesyes infousing Azure authentication

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Amazon SimpleDBHiveMicrosoft Azure AI Search
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