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DBMS > Amazon DynamoDB vs. CouchDB vs. Microsoft Azure Cosmos DB vs. RavenDB vs. Sequoiadb

System Properties Comparison Amazon DynamoDB vs. CouchDB vs. Microsoft Azure Cosmos DB vs. RavenDB vs. Sequoiadb

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRavenDB  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Globally distributed, horizontally scalable, multi-model database serviceOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseNewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Key-value store
Document storeDocument store
Graph DBMS
Key-value store
Wide column store
Document storeDocument store
Relational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score9.30
Rank#45  Overall
#7  Document stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.92
Rank#101  Overall
#18  Document stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websiteaws.amazon.com/­dynamodbcouchdb.apache.orgazure.microsoft.com/­services/­cosmos-dbravendb.netwww.sequoiadb.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.couchdb.org/­en/­stablelearn.microsoft.com/­azure/­cosmos-dbravendb.net/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMicrosoftHibernating RhinosSequoiadb Ltd.
Initial release20122005201420102013
Current release3.3.3, December 20235.4, July 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache version 2commercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC#C++
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes infoJSON typesnoyes 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.nono
Secondary indexesyesyes infovia viewsyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language (RQL)SQL-like query language
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
proprietary protocol using JSON
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptJavaScriptyesJavaScript
Triggersyes infoby integration with AWS LambdayesJavaScriptyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0Sharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceMulti-source replicationSource-replica replication
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*yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Foreign keys infoReferential integritynonononono
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 infoatomic operations within a single document possibleMulti-item ACID transactions with snapshot isolation within a partitionACID, Cluster-wide transaction availableDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per databaseAccess rights can be defined down to the item levelAuthorization levels configured per client per databasesimple password-based access control

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More resources
Amazon DynamoDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBRavenDBSequoiadb
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