DBMS > Amazon CloudSearch vs. Atos Standard Common Repository vs. EJDB vs. FatDB

System Properties Comparison Amazon CloudSearch vs. Atos Standard Common Repository vs. EJDB vs. FatDB

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Editorial information provided by DB-Engines
Name	Amazon CloudSearch  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	EJDB  Xexclude from comparison	FatDB  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.		FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
Description	A hosted search engine service by Amazon with the data stored in Amazons cloud	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Embeddable 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 model	Search engine	Document store Key-value store	Document store	Document store Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.81 Rank #137   Overall #12   Search engines		Score 0.31 Rank #296   Overall #44   Document stores
Website	aws.amazon.com/­cloudsearch	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­Softmotions/­ejdb
Technical documentation	docs.aws.amazon.com/­cloudsearch		github.com/­Softmotions/­ejdb/­blob/­master/­README.md
Developer	Amazon	Atos Convergence Creators	Softmotions	FatCloud
Initial release	2012	2016	2012	2012
Current release		1703
License Commercial or Open Source	commercial	commercial	Open Source GPLv2	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java	C	C#
Server operating systems	hosted	Linux	server-less	Windows
Data scheme	yes	Schema and schema-less with LDAP views	schema-free	schema-free
Typing predefined data types such as float or date	yes	optional	yes string, integer, double, bool, date, object_id	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.		yes
Secondary indexes	yes all search fields are automatically indexed	yes	no	yes
SQL Support of SQL	no	no	no	no Via inetgration in SQL Server
APIs and other access methods	HTTP API	LDAP	in-process shared library	.NET Client API LINQ RESTful HTTP API RPC Windows WCF Bindings
Supported programming languages		All languages with LDAP bindings	Actionscript C C# C++ Go Java JavaScript (Node.js) Lua Objective-C Pike Python Ruby	C#
Server-side scripts Stored procedures	no	no	no	yes via applications
Triggers	no	yes	no	yes via applications
Partitioning methods Methods for storing different data on different nodes	yes automatic partitioning across Amazon Search Instance as required	Sharding cell division	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes managed transparently by AWS	yes	none	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods	no		no	yes
Consistency concepts Methods to ensure consistency in a distributed system		Immediate Consistency or Eventual Consistency depending on configuration		Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	no	no	no typically not needed, however similar functionality with collection joins possible	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	Atomic execution of specific operations	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes Read/Write Locking	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes
User concepts Access control	authentication via encrypted signatures	LDAP bind authentication	no	no Can implement custom security layer via applications
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More resources
	Amazon CloudSearch	Atos Standard Common Repository	EJDB	FatDB
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 show all
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 Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog 21 October 2014, AWS Blog AWS, Microsoft and Google should retire these cloud services 2 June 2020, TechTarget CloudSearch Update – Price Reduction, Hebrew & Japanese Support, Partitioning, CloudTrail | Amazon Web Services 19 November 2014, AWS Blog Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services 24 March 2014, AWS Blog provided by Google News

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