DBMS > Amazon SimpleDB vs. LokiJS vs. Netezza vs. SAP SQL Anywhere

System Properties Comparison Amazon SimpleDB vs. LokiJS vs. Netezza vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
Name	Amazon SimpleDB  Xexclude from comparison	LokiJS  Xexclude from comparison	Netezza Also called PureData System for Analytics by IBM  Xexclude from comparison	SAP SQL Anywhere formerly called Adaptive Server Anywhere  Xexclude from comparison
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	In-memory JavaScript DBMS	Data warehouse and analytics appliance part of IBM PureSystems	RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database model	Key-value store	Document store	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.09 Rank #123   Overall #24   Key-value stores	Score 0.53 Rank #233   Overall #36   Document stores	Score 18.93 Rank #38   Overall #24   Relational DBMS	Score 5.62 Rank #72   Overall #40   Relational DBMS
Website	aws.amazon.com/­simpledb	github.com/­techfort/­LokiJS	www.ibm.com/­products/­netezza	www.sap.com/­products/­sql-anywhere.html
Technical documentation	docs.aws.amazon.com/­simpledb	techfort.github.io/­LokiJS		help.sap.com/­sql-anywhere
Developer	Amazon		IBM	SAP formerly Sybase
Initial release	2007	2014	2000	1992
Current release				17, July 2015
License Commercial or Open Source	commercial	Open Source	commercial	commercial
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		JavaScript
Server operating systems	hosted	server-less, requires a JavaScript environment (browser, Node.js)	Linux included in appliance	AIX HP-UX Linux OS X Solaris Windows
Data scheme	schema-free	schema-free	yes	yes
Typing predefined data types such as float or date	no	no	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.		no		yes
Secondary indexes	yes All columns are indexed automatically	yes via views	yes	yes
SQL Support of SQL	no	no	yes	yes
APIs and other access methods	RESTful HTTP API	JavaScript API	JDBC ODBC OLE DB	ADO.NET HTTP API JDBC ODBC
Supported programming languages	.Net C C++ Erlang Java PHP Python Ruby Scala	JavaScript	C C++ Fortran Java Lua Perl Python R	C C# C++ Delphi Java JavaScript (Node.js) Perl PHP Python Ruby
Server-side scripts Stored procedures	no	View functions in JavaScript	yes	yes, in C/C++, Java, .Net or Perl
Triggers	no	yes	no	yes
Partitioning methods Methods for storing different data on different nodes	none Sharding must be implemented in the application	none	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	Source-replica replication	Source-replica replication Database mirroring
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Immediate Consistency can be specified for read operations	none		Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no Concurrent data updates can be detected by the application	no atomic operations within a single collection possible	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes		yes	yes
Durability Support for making data persistent	yes	yes Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.	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	Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)	no	Users with fine-grained authorization concept	fine grained access rights according to SQL-standard
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More resources
	Amazon SimpleDB	LokiJS	Netezza Also called PureData System for Analytics by IBM	SAP SQL Anywhere formerly called Adaptive Server Anywhere
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	New kids on the block: database management systems implemented in JavaScript 1 December 2014, Matthias Gelbmann show all