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

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

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHBase  Xexclude from comparisonMarkLogic  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 ScioreWide-column store based on Apache Hadoop and on concepts of BigTableOperational and transactional Enterprise NoSQL databaseIn-memory key-value store, originally intended for caching
Primary database modelKey-value storeWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score19.42
Rank#32  Overall
#4  Key-value stores
Websiteaws.amazon.com/­simpledbhbase.apache.orgwww.marklogic.comwww.memcached.org
Technical documentationdocs.aws.amazon.com/­simpledbhbase.apache.org/­book.htmldocs.marklogic.comgithub.com/­memcached/­memcached/­wiki
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by PowersetMarkLogic Corp.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2007200820012003
Current release2.3.4, January 202111.0, December 20221.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial inforestricted free version is 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 languageJavaC++C
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesno
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 indexesyes infoAll columns are indexed automaticallynoyesno
SQL infoSupport of SQLnonoyes infoSQL92no
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
Thrift
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Proprietary protocol
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayes infovia XQuery or JavaScriptno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yesnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual ConsistencyImmediate 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 applicationSingle row ACID (across millions of columns)ACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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, with Range Indexes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole-based access control at the document and subdocument levelsyes infousing SASL (Simple Authentication and Security Layer) protocol

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Amazon SimpleDBHBaseMarkLogicMemcached
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