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DBMS > Amazon DocumentDB vs. Memcached vs. Sequoiadb

System Properties Comparison Amazon DocumentDB vs. Memcached vs. Sequoiadb

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMemcached  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceIn-memory key-value store, originally intended for cachingNewSQL database with distributed OLTP and SQL
Primary database modelDocument storeKey-value storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score20.74
Rank#32  Overall
#4  Key-value stores
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.memcached.orgwww.sequoiadb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­memcached/­memcached/­wikiwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSequoiadb Ltd.
Initial release201920032013
Current release1.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes infooid, date, timestamp, binary, regex
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 indexesyesnoyes
SQL infoSupport of SQLnonoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocolproprietary protocol using JSON
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
PHP
Python
Server-side scripts infoStored proceduresnonoJavaScript
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
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 functionallitySource-replica replication
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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesyes infousing SASL (Simple Authentication and Security Layer) protocolsimple password-based access control

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More resources
Amazon DocumentDBMemcachedSequoiadb
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Mask sensitive Amazon DocumentDB log data with Amazon CloudWatch Logs data protection | Amazon Web Services
16 April 2024, AWS Blog

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
29 November 2023, AWS Blog

AWS announces Amazon DocumentDB I/O-Optimized
21 November 2023, AWS Blog

Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0 | Amazon Web Services
15 April 2024, AWS Blog

AWS announces vector search for Amazon DocumentDB
29 November 2023, AWS Blog

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14 September 2017, InfoWorld

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6 March 2018, GeekWire

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9 March 2020, Phoronix

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