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DBMS > Amazon DynamoDB vs. Microsoft Azure AI Search vs. Prometheus vs. Valentina Server

System Properties Comparison Amazon DynamoDB vs. Microsoft Azure AI Search vs. Prometheus vs. Valentina Server

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPrometheus  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudSearch-as-a-service for web and mobile app developmentOpen-source Time Series DBMS and monitoring systemObject-relational database and reports server
Primary database modelDocument store
Key-value store
Search engineTime Series DBMSRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­dynamodbazure.microsoft.com/­en-us/­services/­searchprometheus.iowww.valentina-db.net
Technical documentationdocs.aws.amazon.com/­dynamodblearn.microsoft.com/­en-us/­azure/­searchprometheus.io/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonMicrosoftParadigma Software
Initial release2012201520151999
Current releaseV15.7.5
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshostedhostedLinux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoImport of XML data possible
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIRESTful HTTP/JSON APIODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes
Triggersyes infoby integration with AWS Lambdanonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistencynone
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 roles can be defined via the AWS Identity and Access Management (IAM)yes infousing Azure authenticationnofine grained access rights according to SQL-standard

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More resources
Amazon DynamoDBMicrosoft Azure AI SearchPrometheusValentina Server
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