Delphix vs Denodo

• Fast refresh of production data to non-production environments.
• Easy to automate tasks in Delphix (Bookmark, Rewind, Refresh, etc.) and build pipelines in tools like Jenkins. Enables CI/CD push button build of new virtual database and also the ability to automate regression testing scenarios as well as provide a simple way to expose self-service to developers & testers.
• The staff at Delphix are knowledgeable and take a genuine interest in helping their customers succeed. The support organization is among the best I've seen.
• Delphix is good at notifying customers of bugs & features striking a good balance on sending the right amount and type of communication.
• Delphix is always improving the product and fixing any bugs quickly and transparently.
• Delphix Data Masking product works as described and allows for multiple streams of masking concurrently to complete masking faster.

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• Flat learning curve.
• Does not need brilliant developers.
• Less need for custom denodo wrappers, even if needed is not very complex.
• Denodo stored procedures and functions helped address complex, not straightforward requirements.
• Export/import deployment between environments was very helpful.

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• Delphix is a hefty solution for virtualization, but it is not strong enough for the creation of data, so we have to use another platform when it comes to creating new data.
• Moreover, Delphix web pages do not support AD security groups which eventually results in hassle if you have a large number of users to create and maintain passwords.

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• Lack of Documentation and user community: Denodo continues to have a small community of super users, therefore there is not a lot of documentation out there in the event you get stuck.
• Cost: Data virtualization isn't cheap, so smaller organizations might shy away from this technology due to the high licensing costs.
• Caching strategy: Some slower datasets will require caching... which argues, why not just do traditional ETL if you need to do this?

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• Able to fix production issues faster

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• Improved time-to-market. We addressed new requirements in less than 2 person days.
• Very agile. Easy to handle changing requirements. Like a new requirement, a change in requirement was not expensive either.
• Platform issues were difficult to diagnose and debug.

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