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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. Cloudant vs. CouchDB

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. Cloudant vs. CouchDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonCloudant  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseDatabase as a Service offering based on Apache CouchDBA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.
Primary database modelDocument storeRelational DBMSDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#187  Overall
#29  Document stores
Score3.31
Rank#92  Overall
#46  Relational DBMS
Score4.01
Rank#82  Overall
#15  Document stores
Score17.25
Rank#35  Overall
#5  Document stores
Websiteaws.amazon.com/­documentdbphoenix.apache.orgcloudant.comcouchdb.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgdocs.cloudant.comdocs.couchdb.org/­en/­stable
DeveloperApache Software FoundationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developer
Initial release2019201420102005
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.0, February 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2
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 languageJavaErlangErlang
Server operating systemshostedLinux
Unix
Windows
hostedAndroid
BSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.nononono
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLnoyesnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCRESTful HTTP/JSON APIRESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnouser defined functionsView functions (Map-Reduce) in JavaScriptView functions in JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoimproved architecture with release 2.0
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual 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 operationsACIDno infoatomic operations within a document possibleno infoatomic operations within a single document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes infostrategy: optimistic locking
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.yesnono
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per databaseAccess rights for users can be defined per database

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