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DBMS > Amazon DynamoDB vs. Microsoft Azure AI Search

System Properties Comparison Amazon DynamoDB vs. Microsoft Azure AI Search

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Our visitors often compare Amazon DynamoDB and Microsoft Azure AI Search with Microsoft Azure Cosmos DB, OpenSearch and PostgreSQL.

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Key-value store
Search engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score79.30
Rank#15  Overall
#3  Document stores
#2  Key-value stores
Score5.28
Rank#61  Overall
#7  Search engines
Websiteaws.amazon.com/­dynamodbazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.aws.amazon.com/­dynamodblearn.microsoft.com/­en-us/­azure/­search
DeveloperAmazonMicrosoft
Initial release20122015
Current releaseV1
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnono
Triggersyes infoby integration with AWS Lambdano
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integritynono
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 regionno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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)yes infousing Azure authentication

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More resources
Amazon DynamoDBMicrosoft Azure AI Search
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Recent citations in the news

Amazon DynamoDB data modeling for Multi-Tenancy – Part 2
16 May 2025, Amazon Web Services

Ingest CSV data to Amazon DynamoDB using AWS Lambda
12 May 2025, Amazon Web Services

Using Amazon S3 Express One Zone as a caching layer for S3 Standard | Amazon Web Services
16 May 2025, Amazon Web Services

Announcing the end of support for AWS DynamoDB Session State Provider
7 May 2025, Amazon Web Services

Announcing configurable point-in-time recovery periods for Amazon DynamoDB
7 January 2025, Amazon Web Services

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10 April 2025, Microsoft Azure

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27 September 2024, Microsoft Azure

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