DBMS > Amazon SimpleDB vs. Atos Standard Common Repository vs. Badger vs. BigObject

System Properties Comparison Amazon SimpleDB vs. Atos Standard Common Repository vs. Badger vs. BigObject

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Editorial information provided by DB-Engines
Name	Amazon SimpleDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Badger  Xexclude from comparison	BigObject  Xexclude from comparison
		This system has been discontinued and will be removed 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	An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.	Analytic DBMS for real-time computations and queries
Primary database model	Key-value store	Document store Key-value store	Key-value store	Relational DBMS a hierachical model (tree) can be imposed
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.88 Rank #133   Overall #23   Key-value stores		Score 0.22 Rank #320   Overall #47   Key-value stores	Score 0.19 Rank #329   Overall #146   Relational DBMS
Website	aws.amazon.com/­simpledb	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­dgraph-io/­badger	bigobject.io
Technical documentation	docs.aws.amazon.com/­simpledb		godoc.org/­github.com/­dgraph-io/­badger	docs.bigobject.io
Developer	Amazon	Atos Convergence Creators	DGraph Labs	BigObject, Inc.
Initial release	2007	2016	2017	2015
Current release		1703
License Commercial or Open Source	commercial	commercial	Open Source Apache 2.0	commercial free community edition available
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	Go
Server operating systems	hosted	Linux	BSD Linux OS X Solaris Windows	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)
Data scheme	schema-free	Schema and schema-less with LDAP views	schema-free	yes
Typing predefined data types such as float or date	no	optional	no	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 columns are indexed automatically	yes	no	yes
SQL Support of SQL	no	no	no	SQL-like DML and DDL statements
APIs and other access methods	RESTful HTTP API	LDAP		fluentd ODBC RESTful HTTP API
Supported programming languages	.Net C C++ Erlang Java PHP Python Ruby Scala	All languages with LDAP bindings	Go
Server-side scripts Stored procedures	no	no	no	Lua
Triggers	no	yes	no	no
Partitioning methods Methods for storing different data on different nodes	none Sharding must be implemented in the application	Sharding cell division	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	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	Eventual Consistency Immediate Consistency can be specified for read operations	Immediate Consistency or Eventual Consistency depending on configuration	none	none
Foreign keys Referential integrity	no	no	no	yes automatically between fact table and dimension tables
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	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes Read/write lock on objects (tables, trees)
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	no	no
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More resources
	Amazon SimpleDB	Atos Standard Common Repository	Badger	BigObject
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 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 Amazon SimpleDB Management in Eclipse 22 July 2009, AWS Blog Good Advice on Keeping Your Database Simple and Fast. 25 March 2009, All Things Distributed Amazon Goes Back to the Future With 'NoSQL' Database 19 January 2012, WIRED provided by Google News

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