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DBMS > Amazon DocumentDB vs. Drizzle vs. HarperDB vs. Memcached

System Properties Comparison Amazon DocumentDB vs. Drizzle vs. HarperDB vs. Memcached

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDrizzle  Xexclude from comparisonHarperDB  Xexclude from comparisonMemcached  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.In-memory key-value store, originally intended for caching
Primary database modelDocument storeRelational DBMSDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.55
Rank#248  Overall
#38  Document stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Websiteaws.amazon.com/­documentdbwww.harperdb.iowww.memcached.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.harperdb.io/­docsgithub.com/­memcached/­memcached/­wiki
DeveloperDrizzle project, originally started by Brian AkerHarperDBDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2019200820172003
Current release7.2.4, September 20123.1, August 20211.6.27, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercial infofree community edition availableOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Node.jsC
Server operating systemshostedFreeBSD
Linux
OS X
Linux
OS X
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesno
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 indexesyesyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like data manipulation statementsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C++
Java
PHP
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1no
Triggersnono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definednone 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)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDBno
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 rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Amazon DocumentDBDrizzleHarperDBMemcached
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