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

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

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Editorial information provided by DB-Engines
Name	Amazon CloudSearch  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	FatDB  Xexclude from comparison	Infobright  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	A .NET NoSQL DBMS that can integrate with and extend SQL Server.	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend
Primary database model	Search engine	Document store Key-value store	Document store Key-value store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.81 Rank #137   Overall #12   Search engines			Score 1.02 Rank #192   Overall #90   Relational DBMS
Website	aws.amazon.com/­cloudsearch	atos.net/en/convergence-creators/portfolio/standard-common-repository		ignitetech.com/­softwarelibrary/­infobrightdb
Technical documentation	docs.aws.amazon.com/­cloudsearch
Developer	Amazon	Atos Convergence Creators	FatCloud	Ignite Technologies Inc.; formerly InfoBright Inc.
Initial release	2012	2016	2012	2005
Current release		1703
License Commercial or Open Source	commercial	commercial	commercial	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016
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	Windows	Linux Windows
Data scheme	yes	Schema and schema-less with LDAP views	schema-free	yes
Typing predefined data types such as float or date	yes	optional	yes	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		no
Secondary indexes	yes all search fields are automatically indexed	yes	yes	no Knowledge Grid Technology used instead
SQL Support of SQL	no	no	no Via inetgration in SQL Server	yes
APIs and other access methods	HTTP API	LDAP	.NET Client API LINQ RESTful HTTP API RPC Windows WCF Bindings	ADO.NET JDBC ODBC
Supported programming languages		All languages with LDAP bindings	C#	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl
Server-side scripts Stored procedures	no	no	yes via applications	no
Triggers	no	yes	yes via applications	no
Partitioning methods Methods for storing different data on different nodes	yes automatic partitioning across Amazon Search Instance as required	Sharding cell division	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes managed transparently by AWS	yes	selectable replication factor	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no		yes	no
Consistency concepts Methods to ensure consistency in a distributed system		Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	Atomic execution of specific operations	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	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		yes
User concepts Access control	authentication via encrypted signatures	LDAP bind authentication	no Can implement custom security layer via applications	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities
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More resources
	Amazon CloudSearch	Atos Standard Common Repository	FatDB	Infobright
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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