DBMS > Amazon SimpleDB vs. Atos Standard Common Repository vs. Hyprcubd vs. Stardog

System Properties Comparison Amazon SimpleDB vs. Atos Standard Common Repository vs. Hyprcubd vs. Stardog

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Editorial information provided by DB-Engines
Name	Amazon SimpleDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Hyprcubd  Xexclude from comparison	Stardog  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.	Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
Description	Hosted simple database service by Amazon, with the data stored in the Amazon Cloud. There is an unrelated product called SimpleDB developed by Edward Sciore	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Serverless Time Series DBMS	Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database model	Key-value store	Document store Key-value store	Time Series DBMS	Graph DBMS RDF store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.88 Rank #133   Overall #23   Key-value stores			Score 2.07 Rank #122   Overall #11   Graph DBMS #6   RDF stores
Website	aws.amazon.com/­simpledb	atos.net/en/convergence-creators/portfolio/standard-common-repository	hyprcubd.com (offline)	www.stardog.com
Technical documentation	docs.aws.amazon.com/­simpledb			docs.stardog.com
Developer	Amazon	Atos Convergence Creators	Hyprcubd, Inc.	Stardog-Union
Initial release	2007	2016		2010
Current release		1703		7.3.0, May 2020
License Commercial or Open Source	commercial	commercial	commercial	commercial 60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only Only available as a cloud service	yes	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java	Go	Java
Server operating systems	hosted	Linux	hosted	Linux macOS Windows
Data scheme	schema-free	Schema and schema-less with LDAP views	yes	schema-free and OWL/RDFS-schema support
Typing predefined data types such as float or date	no	optional	yes time, int, uint, float, string	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 Import/export of XML data possible
Secondary indexes	yes All columns are indexed automatically	yes	no	yes supports real-time indexing in full-text and geospatial
SQL Support of SQL	no	no	SQL-like query language	Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methods	RESTful HTTP API	LDAP	gRPC (https)	GraphQL query language HTTP API Jena RDF API OWL RDF4J API Sesame REST HTTP Protocol SNARL SPARQL Spring Data Stardog Studio TinkerPop 3
Supported programming languages	.Net C C++ Erlang Java PHP Python Ruby Scala	All languages with LDAP bindings		.Net Clojure Groovy Java JavaScript Python Ruby
Server-side scripts Stored procedures	no	no	no	user defined functions and aggregates, HTTP Server extensions in Java
Triggers	no	yes	no	yes via event handlers
Partitioning methods Methods for storing different data on different nodes	none Sharding must be implemented in the application	Sharding cell division		none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes		Multi-source replication in HA-Cluster
MapReduce Offers an API for user-defined Map/Reduce methods	no		no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Immediate Consistency can be specified for read operations	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency	Immediate Consistency in HA-Cluster
Foreign keys Referential integrity	no	no	no	yes relationships in graphs
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no Concurrent data updates can be detected by the application	Atomic execution of specific operations	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	no	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	no	yes
User concepts Access control	Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)	LDAP bind authentication	token access	Access rights for users and roles
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More resources
	Amazon SimpleDB	Atos Standard Common Repository	Hyprcubd	Stardog
DB-Engines blog posts	The popularity of cloud-based DBMSs has increased tenfold in four years 7 February 2017, Matthias Gelbmann Amazon - the rising star in the DBMS market 3 August 2015, Matthias Gelbmann show all
Recent citations in the news	A Place for Everything – Amazon SimpleDB | AWS News Blog 14 December 2007, AWS Blog Amazon DynamoDB Serves Trillions Of Requests Per Month While Counterpart SimpleDB Is No Longer A Listed ... 12 November 2013, TechCrunch An Overview of Amazon Web Services - Cloud Application Architectures [Book] 22 September 2018, O'Reilly Media Amazon SimpleDB Management in Eclipse | AWS News Blog 22 July 2009, AWS Blog Good Advice on Keeping Your Database Simple and Fast. 25 March 2009, All Things Distributed provided by Google News

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