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DBMS > Amazon SimpleDB vs. Realm vs. Solr vs. STSdb vs. Tkrzw

System Properties Comparison Amazon SimpleDB vs. Realm vs. Solr vs. STSdb vs. Tkrzw

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonRealm  Xexclude from comparisonSolr  Xexclude from comparisonSTSdb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA widely used distributed, scalable search engine based on Apache LuceneKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeDocument storeSearch engineKey-value storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#139  Overall
#24  Key-value stores
Score7.71
Rank#52  Overall
#9  Document stores
Score44.28
Rank#24  Overall
#3  Search engines
Score0.06
Rank#365  Overall
#55  Key-value stores
Score0.09
Rank#354  Overall
#51  Key-value stores
Websiteaws.amazon.com/­simpledbrealm.iosolr.apache.orggithub.com/­STSSoft/­STSdb4dbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­simpledbrealm.io/­docssolr.apache.org/­resources.html
DeveloperAmazonRealm, acquired by MongoDB in May 2019Apache Software FoundationSTS Soft SCMikio Hirabayashi
Initial release20072014200620112020
Current release9.5.0, February 20244.0.8, September 20150.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2Open Source infoGPLv2, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#C++
Server operating systemshostedAndroid
Backend: server-less
iOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)WindowsLinux
macOS
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or datenoyesyes infosupports customizable data types and automatic typingyes infoprimitive types and user defined types (classes)no
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.noyesno
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnonoSolr Parallel SQL Interfacenono
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
.NET Client API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessaryJava pluginsnono
Triggersnoyes infoChange Listenersyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesyesnono

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More resources
Amazon SimpleDBRealmSolrSTSdbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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