DBMS > Amazon CloudSearch vs. Atos Standard Common Repository vs. Tkrzw vs. Yanza

System Properties Comparison Amazon CloudSearch vs. Atos Standard Common Repository vs. Tkrzw vs. Yanza

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Editorial information provided by DB-Engines
Name	Amazon CloudSearch  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison	Yanza  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.		Yanza seems to be discontinued. Therefore it is excluded 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	A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet	Time Series DBMS for IoT Applications
Primary database model	Search engine	Document store Key-value store	Key-value store	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.81 Rank #137   Overall #12   Search engines		Score 0.07 Rank #372   Overall #57   Key-value stores
Website	aws.amazon.com/­cloudsearch	atos.net/en/convergence-creators/portfolio/standard-common-repository	dbmx.net/­tkrzw	yanza.com
Technical documentation	docs.aws.amazon.com/­cloudsearch
Developer	Amazon	Atos Convergence Creators	Mikio Hirabayashi	Yanza
Initial release	2012	2016	2020	2015
Current release		1703	0.9.3, August 2020
License Commercial or Open Source	commercial	commercial	Open Source Apache Version 2.0	commercial free version available
Cloud-based only Only available as a cloud service	yes	no	no	no but mainly used as a service provided by Yanza
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 macOS	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	no	no
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		no
SQL Support of SQL	no	no	no	no
APIs and other access methods	HTTP API	LDAP		HTTP API
Supported programming languages		All languages with LDAP bindings	C++ Java Python Ruby	any language that supports HTTP calls
Server-side scripts Stored procedures	no	no	no	no
Triggers	no	yes	no	yes Timer and event based
Partitioning methods Methods for storing different data on different nodes	yes automatic partitioning across Amazon Search Instance as required	Sharding cell division	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes managed transparently by AWS	yes	none	none
MapReduce Offers an API for user-defined Map/Reduce methods	no		no	no
Consistency concepts Methods to ensure consistency in a distributed system		Immediate Consistency or Eventual Consistency depending on configuration	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
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 using specific database classes
User concepts Access control	authentication via encrypted signatures	LDAP bind authentication	no	no
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More resources
	Amazon CloudSearch	Atos Standard Common Repository	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet	Yanza
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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