DBMS > IBM Db2 vs. Informix vs. Memcached vs. WakandaDB

System Properties Comparison IBM Db2 vs. Informix vs. Memcached vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

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

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

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

Object oriented DBMS

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	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

Score	0.08
Rank	#292	Overall
	#14	Object oriented DBMS

Website

www.ibm.com/analytics/db2

www.ibm.com/products/informix

www.memcached.org

wakanda.github.io

Technical documentation

www.ibm.com/support/knowledgecenter/SSEPGG

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

github.com/memcached/memcached/wiki

doc.wakanda.org/home2.en.html#/Datastore/Introduction.200-588937.en.html

Developer

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

Wakanda SAS

Initial release

1983

host version

1984

2003

2012

Current release

12.1, October 2016

14.10, March 2019

1.5.12, November 2018

2.1.0, July 2017

License

Commercial or Open Source

commercial info

free version is available

commercial info

free developer edition available

Open Source info

BSD license

Open Source info

AGPLv3, extended commercial license available

Cloud-based only info

Only available as a cloud service

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

C++, JavaScript

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows
z/OS

AIX
HP-UX
Linux
macOS
Solaris
Windows

FreeBSD
Linux
OS X
Unix
Windows

Linux
OS X
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

Since Version 12.10 support for JSON/BSON datatypes

yes

XML support info

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

SQL

Support of SQL

yes

APIs and other access methods

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

RESTful HTTP API

Supported programming languages

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

JavaScript

Server-side scripts info

Stored procedures

yes

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

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

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

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

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

yes

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