Bitnami Akeneo Stack is a freely distributed and multiplatform graphical installer that greatly simplifies the installation and hosting of the Akeneo web-based application on desktop computers and laptops. It is distributed as native installers for GNU/Linux and Mac OS X systems, as well as cloud images, a virtual appliance, and a Docker container.
What is Akeneo?
Akeneo is an open source web-based application that has been designed from the offset to perform as a Product Information Management (PIM) system, the perfect tool for retailers who are looking for profitable solutions to their multichannel needs.
Installing Bitnami Akeneo Stack
Users will be able to install the Akeneo software on their personal computers using the pre-built binary packages provided by Bitnami in the .run file format. Both 32-bit and 64-bit hardware architectures are supported at this time.
To install Akeneo on your GNU/Linux distribution, download the package that corresponds to your computer’s hardware arch, make the file executable, double click it and follow the instructions displayed on the screen.
Run Akeneo in the cloud
Thanks to Bitnami, users can run the Akeneo application in the cloud with their own hosting providers or by using the pre-built cloud images designed for either the Amazon EC2 or Windows Azure cloud hosting providers.
Virtualize Akeneo or run the Docker container
In addition to installing Akeneo on personal computers or run it in the cloud, users will be able to virtualize it, as Bitnami provides a virtual appliance based on the latest LTS release of the Ubuntu Linux distribution and designed for the VMware ESX, ESXi and Orracle VirtualBox virtualization software. An Akeneo Docker container will also be available for download on the project’s homepage.
The Bitnami Akeneo Module
Besides the Bitnami Akeneo Stack product reviewed here, Bitnami offers a simpler solution of deploying the Akeneo application on personal computers, on top of an existing LAMP or MAMP stack. Bitnami Akeneo Stack is available for download for free on Softpedia!
