Pimcore vs. Red Hat JBoss Data Virtualization

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.

Red Hat JBoss Enterprise Data Services is a top choice for JEE applications. Even though lots of documentation is available, it's difficult in terms of usability. If the development is more based on Java applications it is a good choice. It provides better installation and integrations.

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• 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

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• Data source compatibility: since it is Java, it can connect to anything with a JDBC driver.
• Flexibility: you can configure it however you want, we have it configured to use LDAPS for authentication and have all interfaces encrypted, and setting that up was pretty straight forward.

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

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• Pricing
• User Interface

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Support availability and resolution response time make it a better choice.

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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

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Market value and support extended by Redhat is the winner against Veritas. It has cool features and functionality but still, if your organization is Redhat shop it's better to go for the Jboss option.

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• 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.

• It has allowed us to start moving applications independent from their underlying data sources, savings us time and limiting cutover effort.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info