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DBMS > Amazon SimpleDB vs. Cubrid vs. GBase vs. SQL.JS

System Properties Comparison Amazon SimpleDB vs. Cubrid vs. GBase vs. SQL.JS

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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

CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

Port of SQLite to JavaScript

Primary database model

Key-value store

Relational DBMS

Relational DBMS

Relational DBMS

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

Score	1.89
Rank	#128	Overall
	#22	Key-value stores

Score	0.97
Rank	#189	Overall
	#86	Relational DBMS

Score	1.11
Rank	#173	Overall
	#78	Relational DBMS

Score	0.53
Rank	#246	Overall
	#115	Relational DBMS

Website

aws.amazon.com/simpledb

cubrid.com (korean)
cubrid.org (english)

Technical documentation

docs.aws.amazon.com/simpledb

cubrid.org/manuals

sql.js.org/documentation/index.html

Developer

Amazon

CUBRID Corporation, CUBRID Foundation

General Data Technology Co., Ltd.

Alon Zakai

enhancements implemented by others

Initial release

2007

2008

2004

2012

Current release

11.0, January 2021

GBase 8a, GBase 8s, GBase 8c

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

Open Source

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

C, C++, Java

C, Java, Python

JavaScript

Server operating systems

hosted

Linux
Windows

Linux

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

schema-free

yes

yes

yes

Typing

predefined data types such as float or date

no

yes

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

no

Secondary indexes

yes

All columns are indexed automatically

yes

yes

SQL

Support of SQL

no

yes

Standard with numerous extensions

yes

SQL-92 is not fully supported

APIs and other access methods

RESTful HTTP API

ADO.NET
JDBC
ODBC
OLE DB

ADO.NET
C API
JDBC
ODBC

JavaScript API

Supported programming languages

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

C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

C#

JavaScript

Server-side scripts

Stored procedures

no

Java Stored Procedures

user defined functions

no

Triggers

no

yes

yes

no

Partitioning methods

Methods for storing different data on different nodes

none

Sharding must be implemented in the application

none

horizontal partitioning (by range, list and hash) and vertical partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

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

Immediate Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

no

yes

yes

yes

Transaction concepts

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

no

Concurrent data updates can be detected by the application

ACID

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

yes

yes

no

except by serializing a db to a file

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

no

yes

User concepts

Access control

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

fine grained access rights according to SQL-standard

yes

no

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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

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

Recent citations in the news

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