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DBMS > Amazon SimpleDB vs. Dragonfly vs. HBase vs. Memcached

System Properties Comparison Amazon SimpleDB vs. Dragonfly vs. HBase vs. Memcached

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDragonfly  Xexclude from comparisonHBase  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceWide-column store based on Apache Hadoop and on concepts of BigTableIn-memory key-value store, originally intended for caching
Primary database modelKey-value storeKey-value storeWide column storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.41
Rank#266  Overall
#38  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Websiteaws.amazon.com/­simpledbgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
hbase.apache.orgwww.memcached.org
Technical documentationdocs.aws.amazon.com/­simpledbwww.dragonflydb.io/­docshbase.apache.org/­book.htmlgithub.com/­memcached/­memcached/­wiki
DeveloperAmazonDragonflyDB team and community contributorsApache Software Foundation infoApache top-level project, originally developed by PowersetDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2007202320082003
Current release1.0, March 20232.3.4, January 20211.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1Open Source infoApache version 2Open 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++JavaC
Server operating systemshostedLinuxLinux
Unix
Windows infousing Cygwin
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freescheme-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysoptions to bring your own types, AVROno
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 indexesyes infoAll columns are indexed automaticallynonono
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolJava API
RESTful HTTP API
Thrift
Proprietary protocol
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoLuayes infoCoprocessors in Javano
Triggersnopublish/subscribe channels provide some trigger functionalityyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
none infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationAtomic execution of command blocks and scriptsSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesyesno
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 roles can be defined via the AWS Identity and Access Management (IAM)Password-based authenticationAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Amazon SimpleDBDragonflyHBaseMemcached
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