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DBMS > Amazon DynamoDB vs. Microsoft Azure Cosmos DB vs. Tkrzw

System Properties Comparison Amazon DynamoDB vs. Microsoft Azure Cosmos DB vs. Tkrzw

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudGlobally distributed, horizontally scalable, multi-model database serviceA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Key-value store
Wide column store
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.88
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score40.98
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#363  Overall
#57  Key-value stores
Websiteaws.amazon.com/­dynamodbazure.microsoft.com/­services/­cosmos-dbdbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.microsoft.com/­azure/­cosmos-db
DeveloperAmazonMicrosoftMikio Hirabayashi
Initial release201220142020
Current release0.9.3, August 2020
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedhostedLinux
macOS
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON typesno
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 infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoJavaScriptno
Triggersyes infoby integration with AWS LambdaJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)with Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
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 regionMulti-item ACID transactions with snapshot isolation within a partition
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.yes infousing specific database classes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights can be defined down to the item levelno

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More resources
Amazon DynamoDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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