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DBMS > Amazon SimpleDB vs. FatDB vs. Newts vs. SQLite vs. Yaacomo

System Properties Comparison Amazon SimpleDB vs. FatDB vs. Newts vs. SQLite vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonFatDB  Xexclude from comparisonNewts  Xexclude from comparisonSQLite  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Yaacomo seems to be discontinued and is removed 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 .NET NoSQL DBMS that can integrate with and extend SQL Server.Time Series DBMS based on CassandraWidely used embeddable, in-process RDBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeDocument store
Key-value store
Time Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#139  Overall
#24  Key-value stores
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score116.01
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­simpledbopennms.github.io/­newtswww.sqlite.orgyaacomo.com
Technical documentationdocs.aws.amazon.com/­simpledbgithub.com/­OpenNMS/­newts/­wikiwww.sqlite.org/­docs.html
DeveloperAmazonFatCloudOpenNMS GroupDwayne Richard HippQ2WEB GmbH
Initial release20072012201420002009
Current release3.45.2  (12 March 2024), March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoPublic Domaincommercial
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 languageC#JavaC
Server operating systemshostedWindowsLinux
OS X
Windows
server-lessAndroid
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyes infodynamic column typesyes
Typing infopredefined data types such as float or datenoyesyesyes infonot rigid because of 'dynamic typing' concept.yes
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 automaticallyyesnoyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Servernoyes infoSQL-92 is not fully supportedyes
APIs and other access methodsRESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP REST
Java API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#JavaActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoyes infovia applicationsnono
Triggersnoyes infovia applicationsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding infobased on Cassandranonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factor infobased on CassandranoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
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.noyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoCan implement custom security layer via applicationsnonofine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBFatDBNewtsSQLiteYaacomo
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