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DBMS > Amazon DynamoDB vs. Apache Drill vs. Microsoft Azure Cosmos DB

System Properties Comparison Amazon DynamoDB vs. Apache Drill vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Drill  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score64.58
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score3.02
Rank#95  Overall
#17  Document stores
#46  Relational DBMS
Score30.40
Rank#24  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteaws.amazon.com/­dynamodbdrill.apache.orgazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.aws.amazon.com/­dynamodbdrill.apache.org/­docsdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperAmazonApache Software FoundationMicrosoft
Initial release201220122014
Current release1.17.0, December 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedLinux
OS X
Windows
hosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON types
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 indexesyesnoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C++.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnouser defined functionsJavaScript
Triggersyes infoby integration with AWS LambdanoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding 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)yeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session 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 regionnoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data source
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Depending on the underlying data sourceAccess rights can be defined down to the item level

More information provided by the system vendor

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Related products and services
3rd partiesDynobase: Professional DynamoDB GUI Client. Available for Mac, Windows & Linux.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DynamoDBApache DrillMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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