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DBMS > Amazon DocumentDB vs. CouchDB vs. EDB Postgres vs. Microsoft Azure SQL Database

System Properties Comparison Amazon DocumentDB vs. CouchDB vs. EDB Postgres vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonEDB Postgres  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score9.30
Rank#45  Overall
#7  Document stores
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websiteaws.amazon.com/­documentdbcouchdb.apache.orgwww.enterprisedb.comazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.couchdb.org/­en/­stablewww.enterprisedb.com/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerEnterpriseDBMicrosoft
Initial release2019200520052010
Current release3.3.3, December 202314, December 2021V12
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infoBSD for PostgreSQL-componentscommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangCC++
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
hosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoView functions in JavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Transact SQL
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0horizontal partitioning infoby hash, list or range
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 replicationyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes, multi-version concurrency control (MVCC)yes
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.nono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databasefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"EDB PostgresMicrosoft Azure SQL Database infoformerly SQL Azure
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