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DBMS > Amazon DynamoDB vs. Microsoft Azure Table Storage

System Properties Comparison Amazon DynamoDB vs. Microsoft Azure Table Storage

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Our visitors often compare Amazon DynamoDB and Microsoft Azure Table Storage with Microsoft Azure Cosmos DB, Microsoft SQL Server and Redis.

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument store
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score56.42
Rank#20  Overall
#2  Document stores
#2  Key-value stores
Score4.43
Rank#67  Overall
#5  Wide column stores
Websiteaws.amazon.com/­dynamodbazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.aws.amazon.com/­dynamodb
DeveloperAmazonMicrosoft
Initial release20122012
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-freeschema-free
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 indexesyesno
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
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
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. Replication either local, cross-facility or geo-redundant.
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 regionoptimistic locking
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)Access rights based on private key authentication or shared access signatures

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More resources
Amazon DynamoDBMicrosoft Azure Table Storage
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