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DBMS > Amazon SimpleDB vs. Riak KV vs. Solr vs. SQream DB

System Properties Comparison Amazon SimpleDB vs. Riak KV vs. Solr vs. SQream DB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSolr  Xexclude from comparisonSQream DB  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 ScioreDistributed, fault tolerant key-value storeA widely used distributed, scalable search engine based on Apache Lucenea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteaws.amazon.com/­simpledbsolr.apache.orgsqream.com
Technical documentationdocs.aws.amazon.com/­simpledbwww.tiot.jp/­riak-docs/­riak/­kv/­latestsolr.apache.org/­resources.htmldocs.sqream.com
DeveloperAmazonOpenSource, formerly Basho TechnologiesApache Software FoundationSQream Technologies
Initial release2007200920062017
Current release3.2.0, December 20229.6.0, April 20242022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaC++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or datenonoyes infosupports customizable data types and automatic typingyes, ANSI Standard SQL Types
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 automaticallyrestrictedyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnonoSolr Parallel SQL Interfaceyes
APIs and other access methodsRESTful HTTP APIHTTP API
Native Erlang Interface
Java API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoErlangJava pluginsuser defined functions in Python
Triggersnoyes infopre-commit hooks and post-commit hooksyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infono "single point of failure"Shardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnooptimistic lockingACID
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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes, using Riak Securityyes

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More resources
Amazon SimpleDBRiak KVSolrSQream DB
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