DBMS > Amazon SimpleDB vs. IBM Db2 vs. Informix vs. Memcached

System Properties Comparison Amazon SimpleDB vs. IBM Db2 vs. Informix vs. Memcached

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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. info

There is an unrelated product called SimpleDB developed by Edward Sciore

Common in IBM host environments, 2 different versions for host and Windows/Linux

A secure embeddable database from IBM, positioned besides DB2 as a relatively low-cost product optimized for OLTP and Internet of Things data

In-memory key-value store, originally intended for caching

Primary database model

Key-value store

Relational DBMS info

Since Version 10.5 support for JSON/BSON documents compatible with MongoDB

Relational DBMS info

Since Version 12.10 support for JSON/BSON datatypes compatible with MongoDB

Key-value store

Secondary database models

Document store
RDF store info

in DB2 LUW (Linux, Unix, Windows)

Document store
Time Series DBMS info

with Informix TimeSeries Extension

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

Score	2.41
Rank	#100	Overall
	#19	Key-value stores

Score	171.35
Rank	#6	Overall
	#5	Relational DBMS

Score	25.51
Rank	#26	Overall
	#15	Relational DBMS

Score	24.46
Rank	#28	Overall
	#4	Key-value stores

Website

aws.amazon.com/simpledb

www.ibm.com/analytics/db2

www.ibm.com/products/informix

www.memcached.org

Technical documentation

docs.aws.amazon.com/simpledb

www.ibm.com/support/knowledgecenter/SSEPGG

informix.hcldoc.com
www.ibm.com/support/knowledgecenter/SSGU8G/welcomeIfxServers.html

github.com/memcached/memcached/wiki

Developer

Amazon

IBM

IBM, HCL Technologies info

Effective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.

Danga Interactive info

originally developed by Brad Fitzpatrick for LiveJournal

Initial release

2007

1983

host version

1984

2003

Current release

12.1, October 2016

14.10, March 2019

1.5.12, November 2018

License

Commercial or Open Source

commercial

commercial info

free version is available

commercial info

free developer edition available

Open Source info

BSD license

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C and C++

C, C++ and Java

Server operating systems

hosted

AIX
HP-UX
Linux
Solaris
Windows
z/OS

AIX
HP-UX
Linux
macOS
Solaris
Windows

FreeBSD
Linux
OS X
Unix
Windows

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

Since Version 12.10 support for JSON/BSON datatypes

Secondary indexes

yes

All columns are indexed automatically

yes

SQL

Support of SQL

yes

APIs and other access methods

RESTful HTTP API

ADO.NET
JDBC
JSON style queries info

MongoDB compatible
ODBC
XQuery

JDBC
JSON API info

MongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API

Proprietary protocol

Supported programming languages

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

C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic

.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby

Server-side scripts info

Stored procedures

yes

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

none

Sharding must be implemented in the application

Sharding

only with Windows/Unix/Linux Version

Sharding

none

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

with separate tools (MQ, InfoSphere)

Master-master replication
Master-slave replication

none

Repcached, a Memcached patch, provides this functionallity

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency info

can be specified for read operations

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

Concurrent data updates can be detected by the application

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

User concepts info

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

Users with fine-grained authentication, authorization, and auditing controls

yes

using SASL (Simple Authentication and Security Layer) protocol

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