Azure Synapse Analytics (Azure SQL Data Warehouse) vs Denodo

• It is very cost-effective
• Development time needed was much less in comparison to other systems
• Played very nicely with our ETL and OLAP reporting tools

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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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• Limited T-SQL query library
• It is not suitable for OLTP environment
• Doesn't support cross-database queries

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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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• We have had an improvement in our overall processing time
• Cost was much lower than most of its competitors
• Our reporting needs have grown and housing the data here has been great

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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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