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

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

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Editorial information provided by DB-Engines
Name	Amazon CloudSearch  Xexclude from comparison	ArcadeDB  Xexclude from comparison	Atos Standard Common Repository  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	Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten	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.
Primary database model	Search engine	Document store Graph DBMS Key-value store Time Series DBMS in next version	Document store Key-value 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 0.10 Rank #358   Overall #48   Document stores #38   Graph DBMS #52   Key-value stores #35   Time Series DBMS
Website	aws.amazon.com/­cloudsearch	arcadedb.com	atos.net/en/convergence-creators/portfolio/standard-common-repository
Technical documentation	docs.aws.amazon.com/­cloudsearch	docs.arcadedb.com
Developer	Amazon	Arcade Data	Atos Convergence Creators	FatCloud
Initial release	2012	2021	2016	2012
Current release		September 2021	1703
License Commercial or Open Source	commercial	Open Source Apache Version 2.0	commercial	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	Java	C#
Server operating systems	hosted	All OS with a Java VM	Linux	Windows
Data scheme	yes	schema-free	Schema and schema-less with LDAP views	schema-free
Typing predefined data types such as float or date	yes	yes	optional	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.		no	yes
Secondary indexes	yes all search fields are automatically indexed	yes	yes	yes
SQL Support of SQL	no	SQL-like query language, no joins	no	no Via inetgration in SQL Server
APIs and other access methods	HTTP API	JDBC MongoDB API OpenCypher PostgreSQL wire protocol Redis API RESTful HTTP/JSON API TinkerPop Gremlin	LDAP	.NET Client API LINQ RESTful HTTP API RPC Windows WCF Bindings
Supported programming languages		Java	All languages with LDAP bindings	C#
Server-side scripts Stored procedures	no		no	yes via applications
Triggers	no		yes	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	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes managed transparently by AWS	Source-replica replication	yes	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	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	no	yes relationship in graphs	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	Atomic execution of specific operations	no
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
User concepts Access control	authentication via encrypted signatures		LDAP bind authentication	no Can implement custom security layer via applications
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More resources
	Amazon CloudSearch	ArcadeDB	Atos Standard Common Repository	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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