DBMS > Amazon CloudSearch vs. Atos Standard Common Repository vs. BigObject vs. YTsaurus

System Properties Comparison Amazon CloudSearch vs. Atos Standard Common Repository vs. BigObject vs. YTsaurus

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Editorial information provided by DB-Engines
Name	Amazon CloudSearch  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	BigObject  Xexclude from comparison	YTsaurus  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines 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	Analytic DBMS for real-time computations and queries	YTsaurus is an open source platform for distributed storage and processing.
Primary database model	Search engine	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	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 0.19 Rank #329   Overall #146   Relational DBMS	Score 0.21 Rank #324   Overall #45   Document stores #48   Key-value stores
Website	aws.amazon.com/­cloudsearch	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	ytsaurus.tech
Technical documentation	docs.aws.amazon.com/­cloudsearch		docs.bigobject.io	ytsaurus.tech/­docs/­en
Developer	Amazon	Atos Convergence Creators	BigObject, Inc.	Yandex
Initial release	2012	2016	2015	2023
Current release		1703
License Commercial or Open Source	commercial	commercial	commercial free community edition available	Open Source Apache License, Version 2.0
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++
Server operating systems	hosted	Linux	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	Ubuntu
Data scheme	yes	Schema and schema-less with LDAP views	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	no
Secondary indexes	yes all search fields are automatically indexed	yes	yes
SQL Support of SQL	no	no	SQL-like DML and DDL statements	YQL, an SQL-based language, is supported
APIs and other access methods	HTTP API	LDAP	fluentd ODBC RESTful HTTP API
Supported programming languages		All languages with LDAP bindings		C++ Go Java JavaScript Python
Server-side scripts Stored procedures	no	no	Lua
Triggers	no	yes	no
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	yes
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	none
Foreign keys Referential integrity	no	no	yes automatically between fact table and dimension tables
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 Read/write lock on objects (tables, trees)	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	Access Control Lists
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More resources
	Amazon CloudSearch	Atos Standard Common Repository	BigObject	YTsaurus
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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