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

System Properties Comparison Amazon CloudSearch vs. Atos Standard Common Repository vs. NSDb 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	NSDb  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	Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes	Time Series DBMS for IoT Applications
Primary database model	Search engine	Document store Key-value store	Time Series DBMS	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 0.08 Rank #369   Overall #40   Time Series DBMS
Website	aws.amazon.com/­cloudsearch	atos.net/en/convergence-creators/portfolio/standard-common-repository	nsdb.io	yanza.com
Technical documentation	docs.aws.amazon.com/­cloudsearch		nsdb.io/­Architecture
Developer	Amazon	Atos Convergence Creators		Yanza
Initial release	2012	2016	2017	2015
Current release		1703
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	Java, Scala
Server operating systems	hosted	Linux	Linux macOS	Windows
Data scheme	yes	Schema and schema-less with LDAP views		schema-free
Typing predefined data types such as float or date	yes	optional	yes: int, bigint, decimal, string	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	all fields are automatically indexed	no
SQL Support of SQL	no	no	SQL-like query language	no
APIs and other access methods	HTTP API	LDAP	gRPC HTTP REST WebSocket	HTTP API
Supported programming languages		All languages with LDAP bindings	Java Scala	any language that supports HTTP calls
Server-side scripts Stored procedures	no	no	no	no
Triggers	no	yes		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	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes managed transparently by AWS	yes		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	Eventual 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	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	Using Apache Lucene	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
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More resources
	Amazon CloudSearch	Atos Standard Common Repository	NSDb	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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