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DBMS > Amazon SimpleDB vs. BigObject vs. CouchDB vs. IRONdb vs. RDF4J

System Properties Comparison Amazon SimpleDB vs. BigObject vs. CouchDB vs. IRONdb vs. RDF4J

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigObject  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAnalytic DBMS for real-time computations and queriesA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value storeRelational DBMS infoa hierachical model (tree) can be imposedDocument storeTime Series DBMSRDF store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#139  Overall
#24  Key-value stores
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score10.26
Rank#45  Overall
#7  Document stores
Score0.71
Rank#231  Overall
#9  RDF stores
Websiteaws.amazon.com/­simpledbbigobject.iocouchdb.apache.orgwww.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationdocs.aws.amazon.com/­simpledbdocs.bigobject.iodocs.couchdb.org/­en/­stabledocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperAmazonBigObject, Inc.Apache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20072015200520172004
Current release3.3.3, December 2023V0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache version 2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC and C++Java
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Android
BSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyesnoyes infotext, numeric, histogramsyes
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infovia viewsnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsRESTful HTTP APIfluentd
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresnoLuaView functions in JavaScriptyes, in Luayes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneSharding infoimproved architecture with release 2.0Automatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
configurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnono infoatomic operations within a single document possiblenoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users can be defined per databasenono

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More resources
Amazon SimpleDBBigObjectCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"IRONdbRDF4J infoformerly known as Sesame
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