Akeneo vs. Pimcore

It's well suited to an environment which has multiple users working on product information at the same time. For smaller organisations, it would be easy to segregate products for the different users to focus on their span of work, but this has been somewhat tricky in a multi-company environment like ours where we have different users working on the same / similar products. Overall though, we're happy with the product.

Incentivized

Pimcore is especially suitable for an organization that has a complex data model and processes that cannot be met easily with out of the box systems. It is especially helpful where data is lying in multiple legacy systems and needs complex integrations with these systems. It may not be the best choice for someone looking for and out of the box system with predefined features.

• Product Data Management
• Product Asset Management
• Data Quality & Consistency

Incentivized

• PIM - Production Information Management
• CX - Customer Experience and Customer Data Platform
• MDM - Master Data Management
• DAM - Digital Asset Management
• CMS - Content Management System
• Digital Commerce

Incentivized

• Product approval & multi-tier workflow for larger organisations
• Table attributes are limiting
• Access rights and product segmentation to user groups

Incentivized

• Can have a better UI.
• The data delivery channel sometimes breaks.
• Analytics and reporting could be improved.

Incentivized

PIMCore is Digital Platform making it single source of truth for many upstream and downstream system. Akeneo is just PIM and its doing PIM job properly but PimCore is much more than this. AEM is too costly and can't be affordable for many small and mid size companies

Incentivized

• Time to market has reduced
• Increased efficiencies due to the reduction of duplicate work
• Increase in data quality

Incentivized

• With the customers we have worked with, Pimcore has quite a positive impact on ROI.
• Pimcore systems have helped customers not only integrate their data but also improved data quality, greatly reduced their time to market and turn around time.