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DBMS > Amazon DocumentDB vs. Cloudant vs. Geode vs. Microsoft Azure Cosmos DB

System Properties Comparison Amazon DocumentDB vs. Cloudant vs. Geode vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCloudant  Xexclude from comparisonGeode  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDatabase as a Service offering based on Apache CouchDBGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument storeDocument storeKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#182  Overall
#27  Document stores
Score3.45
Rank#82  Overall
#15  Document stores
Score1.59
Rank#124  Overall
#22  Key-value stores
Score31.51
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteaws.amazon.com/­documentdbcloudant.comgeode.apache.orgazure.microsoft.com/­services/­cosmos-db
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.cloudant.comgeode.apache.org/­docsdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Microsoft
Initial release2019201020022014
Current release1.1, February 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJava
Server operating systemshostedhostedAll OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes 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.nonono
Secondary indexesyesyesnoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnonoSQL-like query language (OQL)SQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIJava Client API
Memcached protocol
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptuser defined functionsJavaScript
Triggersnoyesyes infoCache Event ListenersJavaScript
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMaster-master replication
Master-slave replication
Master-master replicationyes 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)yesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoatomic operations within a document possibleyes, on a single nodeMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
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.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databaseAccess rights per client and object definableAccess rights can be defined down to the item level

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More resources
Amazon DocumentDBCloudantGeodeMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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