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DBMS > Amazon DynamoDB vs. InterSystems IRIS vs. Microsoft Azure Cosmos DB vs. Sequoiadb

System Properties Comparison Amazon DynamoDB vs. InterSystems IRIS vs. Microsoft Azure Cosmos DB vs. Sequoiadb

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityGlobally distributed, horizontally scalable, multi-model database serviceNewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Key-value store
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score66.18
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score1.63
Rank#133  Overall
#21  Document stores
#25  Key-value stores
#4  Object oriented DBMS
#66  Relational DBMS
Score31.67
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.35
Rank#252  Overall
#34  Document stores
#115  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­services/­cosmos-dbwww.sequoiadb.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.microsoft.com/­en-us/­azure/­cosmos-dbwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperAmazonInterSystemsMicrosoftSequoiadb Ltd.
Initial release2012201820142013
Current release2020.2, July 2020
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedAIX
Linux
macOS
Windows
hostedLinux
Data schemeschema-freedepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyes infooid, date, timestamp, binary, regex
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.yesno
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoyesSQL-like query languageSQL-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
proprietary protocol using JSON
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesJavaScriptJavaScript
Triggersyes infoby integration with AWS LambdayesJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nowith 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
Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
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 regionACIDMulti-item ACID transactions with snapshot isolation within a partitionDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess rights can be defined down to the item levelsimple password-based access control
More information provided by the system vendor
Amazon DynamoDBInterSystems IRISMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSequoiadb
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Amazon DynamoDBInterSystems IRISMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSequoiadb
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