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DBMS > Amazon SimpleDB vs. IRONdb vs. Riak KV vs. SiteWhere

System Properties Comparison Amazon SimpleDB vs. IRONdb vs. Riak KV vs. SiteWhere

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonIRONdb  Xexclude from comparisonRiak KV  Xexclude from comparisonSiteWhere  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 ScioreA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDistributed, fault tolerant key-value storeM2M integration platform for persisting/querying time series data
Primary database modelKey-value storeTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteaws.amazon.com/­simpledbwww.circonus.com/solutions/time-series-database/github.com/­sitewhere/­sitewhere
Technical documentationdocs.aws.amazon.com/­simpledbdocs.circonus.com/irondb/category/getting-startedwww.tiot.jp/­riak-docs/­riak/­kv/­latestsitewhere1.sitewhere.io/­index.html
DeveloperAmazonCirconus LLC.OpenSource, formerly Basho TechnologiesSiteWhere
Initial release2007201720092010
Current releaseV0.10.20, January 20183.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoCommon Public Attribution License Version 1.0
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 and C++ErlangJava
Server operating systemshostedLinuxLinux
OS X
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or datenoyes infotext, numeric, histogramsnoyes
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 automaticallynorestrictedno
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsRESTful HTTP APIHTTP APIHTTP API
Native Erlang Interface
HTTP REST
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes, in LuaErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationAutomatic, metric affinity per nodeSharding infono "single point of failure"Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter awareselectable replication factorselectable replication factor infobased on HBase
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
Immediate consistency per node, eventual consistency across nodesEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noyes, using Riak SecurityUsers with fine-grained authorization concept

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More resources
Amazon SimpleDBIRONdbRiak KVSiteWhere
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