DBMS > Amazon SimpleDB vs. Apache IoTDB vs. IBM Cloudant vs. STSdb vs. Yanza

System Properties Comparison Amazon SimpleDB vs. Apache IoTDB vs. IBM Cloudant vs. STSdb vs. Yanza

Editorial information provided by DB-Engines

Name

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

An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and Flink

Database as a Service offering based on Apache CouchDB

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Time Series DBMS for IoT Applications

Primary database model

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	2.11
Rank	#123	Overall
	#24	Key-value stores

Score	0.42
Rank	#253	Overall
	#20	Time Series DBMS

Score	3.47
Rank	#95	Overall
	#17	Document stores

Score	0.01
Rank	#345	Overall
	#53	Key-value stores

Score	0.00
Rank	#354	Overall
	#33	Time Series DBMS

Website

aws.amazon.com/simpledb

iotdb.apache.org

www.ibm.com/cloud/cloudant

github.com/STSSoft/STSdb4

yanza.com

Technical documentation

docs.aws.amazon.com/simpledb

cloud.ibm.com/docs/Cloudant

Developer

Amazon

Apache Software Foundation

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

STS Soft SC

Yanza

Initial release

2007

2018

2010

2011

2015

Current release

4.0.8, September 2015

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

Open Source

GPLv2, commercial license available

commercial

free version available

Cloud-based only

Only available as a cloud service

yes

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

Erlang

Server operating systems

hosted

All OS with a Java VM (>= 1.8)

hosted

Windows

Data scheme

schema-free

yes

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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.

Secondary indexes

yes

All columns are indexed automatically

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

RESTful HTTP API

JDBC
Native API

RESTful HTTP/JSON API

.NET Client API

HTTP API

Supported programming languages

.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala

C#
Java
JavaScript
Objective-C
PHP
Ruby

C#
Java

any language that supports HTTP calls

Server-side scripts

Stored procedures

yes

View functions (Map-Reduce) in JavaScript

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

none

Sharding must be implemented in the application

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Integration with Hadoop and Spark

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be specified for read operations

Eventual Consistency
Strong Consistency with Raft

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Concurrent data updates can be detected by the application

atomic operations within a document possible

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

yes

Durability

Support for making data persistent

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

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

yes

Access rights for users can be defined per database

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More resources

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

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Recent citations in the news

Amazon Simple Database Service (SimpleDB)
21 March 2022, TechTarget

Why AWS Keeps It Simple
13 December 2021, Datanami

Amazon DynamoDB Serves Trillions Of Requests Per Month While Counterpart SimpleDB Is No Longer A Listed Product On AWS
13 November 2013, TechCrunch

Amazon Goes Back to the Future With 'NoSQL' Database
19 January 2012, WIRED

provided by Google News

The Apache® Software Foundation Announces Program for ApacheCon@Home 2021
17 August 2021, GlobeNewswire

provided by Google News

IBM Expands Cloud Database Services with Kubernetes
26 September 2019, EnterpriseAI

IBM extends Call for Code for Racial Justice program
24 February 2021, TechTarget

IBM to Purchase Cloudant Database as a service (DBaaS) Provider
22 March 2014, App Developer Magazine

Cloudant Upgrades Cloud Database Service With Integrated Text Indexing and Search Based on Apache Lucene
9 October 2012, PR Newswire

Cloudant Merges BigCouch Into Apache CouchDB
22 July 2013, eWeek

provided by Google News

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