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

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

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFatDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSQLite  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.JavaScript DBMS with an API inspired by CouchDBWidely used embeddable, in-process RDBMS
Primary database modelDocument storeDocument store
Key-value store
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.34
Rank#112  Overall
#21  Document stores
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­documentdbpouchdb.comwww.sqlite.org
Technical documentationaws.amazon.com/­documentdb/­resourcespouchdb.com/­guideswww.sqlite.org/­docs.html
DeveloperFatCloudApache Software FoundationDwayne Richard Hipp
Initial release2019201220122000
Current release7.1.1, June 20193.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaScriptC
Server operating systemshostedWindowsserver-less, requires a JavaScript environment (browser, Node.js)server-less
Data schemeschema-freeschema-freeschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesnoyes infonot rigid because of 'dynamic typing' concept.
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 indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Servernoyes infoSQL-92 is not fully supported
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#JavaScriptActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoyes infovia applicationsView functions in JavaScriptno
Triggersnoyes infovia applicationsyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factorMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesno
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 possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesno infoCan implement custom security layer via applicationsnono

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More resources
Amazon DocumentDBFatDBPouchDBSQLite
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