CloverDX vs. Red Hat JBoss Data Virtualization

CloverDX designer as a standalone is well suited for fairly straightforward transformations of data. If you want to do large scale data integrations, then their server edition adds an extra level of automation and job control.

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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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• Connects with Salesforce very well
• The graphical view of the transformations allows for easy creations and maintenance
• Support has always been eager to assist with any graph creation difficulties I run into

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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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• The initial learning curve is a little steep. Not very steep or super steep, just a little steep.
• Having enough memory for large multi-step problems can be an issue if the graph isn't designed well.

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• Pricing
• User Interface

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While CloverDX has an active forum for users to submit questions and assist with answers, their in house support team is incredibly responsive when I've contacted them for assistance. This seems almost at odds with most other software companies who try to save money on tech support by promoting a forum or knowledge base.

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

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CloverDX was a less expensive alternative to Talend and had a more intuitive interface from what I could see during the evaluation.

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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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• Work that use to take multiple people 20 to 30 hours a week to complete each has now been fully automated to where only 1 or 2 hours a week for maintenance is required.

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

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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