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DBMS > Amazon DocumentDB vs. Memcached vs. Microsoft Azure SQL Database

System Properties Comparison Amazon DocumentDB vs. Memcached vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceIn-memory key-value store, originally intended for cachingDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument storeKey-value storeRelational DBMS
Secondary database modelsDocument 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
Score19.42
Rank#32  Overall
#4  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.memcached.orgazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­memcached/­memcached/­wikidocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoft
Initial release201920032010
Current release1.6.25, March 2024V12
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
hosted
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.noyes
Secondary indexesyesnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocolADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoTransact SQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnone infoRepcached, a Memcached patch, provides this functionallityyes, with always 3 replicas available
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyes
User concepts infoAccess controlAccess rights for users and rolesyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBMemcachedMicrosoft Azure SQL Database infoformerly SQL Azure
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