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DBMS > Amazon CloudSearch vs. EJDB vs. FatDB

System Properties Comparison Amazon CloudSearch vs. EJDB vs. FatDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEJDB  Xexclude from comparisonFatDB  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 cloudEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A .NET NoSQL DBMS that can integrate with and extend SQL Server.
Primary database modelSearch engineDocument storeDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.27
Rank#297  Overall
#44  Document stores
Websiteaws.amazon.com/­cloudsearchgithub.com/­Softmotions/­ejdb
Technical documentationdocs.aws.amazon.com/­cloudsearchgithub.com/­Softmotions/­ejdb/­blob/­master/­README.md
DeveloperAmazonSoftmotionsFatCloud
Initial release201220122012
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC#
Server operating systemshostedserver-lessWindows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyes
Secondary indexesyes infoall search fields are automatically indexednoyes
SQL infoSupport of SQLnonono infoVia inetgration in SQL Server
APIs and other access methodsHTTP APIin-process shared library.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
Server-side scripts infoStored proceduresnonoyes infovia applications
Triggersnonoyes infovia applications
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesnono infoCan implement custom security layer via applications

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More resources
Amazon CloudSearchEJDBFatDB
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Is Amazon CloudSearch superior to do-it-yourself search tools?
24 January 2014, TechTarget

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

provided by Google News



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