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DBMS > Amazon CloudSearch vs. FatDB vs. Fauna vs. Postgres-XL

System Properties Comparison Amazon CloudSearch vs. FatDB vs. Fauna vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFatDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA .NET NoSQL DBMS that can integrate with and extend SQL Server.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelSearch engineDocument store
Key-value store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websiteaws.amazon.com/­cloudsearchfauna.comwww.postgres-xl.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.fauna.comwww.postgres-xl.org/­documentation
DeveloperAmazonFatCloudFauna, Inc.
Initial release2012201220142014 infosince 2012, originally named StormDB
Current release10 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#ScalaC
Server operating systemshostedWindowshostedLinux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 infoXML type, but no XML query functionality
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Servernoyes infodistributed, parallel query execution
APIs and other access methodsHTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes infovia applicationsuser defined functionsuser defined functions
Triggersnoyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardinghorizontal partitioning infoconsistent hashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoMVCC
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 controlauthentication via encrypted signaturesno infoCan implement custom security layer via applicationsIdentity management, authentication, and access controlfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchFatDBFauna infopreviously named FaunaDBPostgres-XL
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Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
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