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DBMS > Amazon DocumentDB vs. FatDB vs. MonetDB vs. PouchDB

System Properties Comparison Amazon DocumentDB vs. FatDB vs. MonetDB vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFatDB  Xexclude from comparisonMonetDB  Xexclude from comparisonPouchDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA .NET NoSQL DBMS that can integrate with and extend SQL Server.A relational database management system that stores data in columnsJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeDocument store
Key-value store
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.80
Rank#148  Overall
#25  Document stores
Score1.78
Rank#149  Overall
#69  Relational DBMS
Score2.70
Rank#114  Overall
#22  Document stores
Websiteaws.amazon.com/­documentdbwww.monetdb.orgpouchdb.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.monetdb.org/­Documentationpouchdb.com/­guides
DeveloperFatCloudMonetDB BVApache Software Foundation
Initial release2019201220042012
Current releaseDec2023 (11.49), December 20237.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla Public License 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#CJavaScript
Server operating systemshostedWindowsFreeBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesyes infovia views
SQL infoSupport of SQLnono infoVia inetgration in SQL Serveryes infoSQL 2003 with some extensionsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresnoyes infovia applicationsyes, in SQL, C, RView functions in JavaScript
Triggersnoyes infovia applicationsyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding via remote tablesSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factornone infoSource-replica replication available in experimental statusMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardno

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More resources
Amazon DocumentDBFatDBMonetDBPouchDB
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