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DBMS > Amazon DocumentDB vs. FoundationDB vs. Memcached

System Properties Comparison Amazon DocumentDB vs. FoundationDB vs. Memcached

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonMemcached  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOrdered key-value store. Core features are complimented by layers.In-memory key-value store, originally intended for caching
Primary database modelDocument storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websiteaws.amazon.com/­documentdbgithub.com/­apple/­foundationdbwww.memcached.org
Technical documentationaws.amazon.com/­documentdb/­resourcesapple.github.io/­foundationdbgithub.com/­memcached/­memcached/­wiki
DeveloperFoundationDBDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release201920132003
Current release6.2.28, November 20201.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSD license
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemshostedLinux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateyesno infosome layers support typingno
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.no
Secondary indexesyesnono
SQL infoSupport of SQLnosupported in specific SQL layer onlyno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoin SQL-layer onlyno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblein SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesno
User concepts infoAccess controlAccess rights for users and rolesnoyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Amazon DocumentDBFoundationDBMemcached
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