DBMS > Amazon SimpleDB vs. NSDb vs. Sadas Engine

System Properties Comparison Amazon SimpleDB vs. NSDb vs. Sadas Engine

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Editorial information provided by DB-Engines
Name	Amazon SimpleDB  Xexclude from comparison	NSDb  Xexclude from comparison	Sadas Engine  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	Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes	SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database model	Key-value store	Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.10 Rank #122   Overall #24   Key-value stores	Score 0.00 Rank #363   Overall #34   Time Series DBMS	Score 0.00 Rank #360   Overall #156   Relational DBMS
Website	aws.amazon.com/­simpledb	nsdb.io	www.sadasengine.com
Technical documentation	docs.aws.amazon.com/­simpledb	nsdb.io/­Architecture	www.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
Developer	Amazon		SADAS s.r.l.
Initial release	2007	2017	2006
Current release			8.0
License Commercial or Open Source	commercial	Open Source Apache Version 2.0	commercial free trial version available
Cloud-based only Only available as a cloud service	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java, Scala	C++
Server operating systems	hosted	Linux macOS	AIX Linux Windows
Data scheme	schema-free		yes
Typing predefined data types such as float or date	no	yes: int, bigint, decimal, 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.		no	no
Secondary indexes	yes All columns are indexed automatically	all fields are automatically indexed	yes
SQL Support of SQL	no	SQL-like query language	yes
APIs and other access methods	RESTful HTTP API	gRPC HTTP REST WebSocket	JDBC ODBC Proprietary protocol
Supported programming languages	.Net C C++ Erlang Java PHP Python Ruby Scala	Java Scala	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	no	no	no
Triggers	no		no
Partitioning methods Methods for storing different data on different nodes	none Sharding must be implemented in the application	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	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	Eventual Consistency Immediate Consistency can be specified for read operations	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	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
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	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 managed by 'Learn by Usage'
User concepts Access control	Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)		Access rights for users, groups and roles according to SQL-standard
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More resources
	Amazon SimpleDB	NSDb	Sadas Engine
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