Coveo Relevance Platform vs IBM Watson Content Analytics

• Searching a large set of documents is very fast
• Support for faceted searching
• Supports synonyms through an admin panel or via an external file
• Out-of-box controls for rendering search, results, and faceting.
• Customization allows for more flexible implementations
• .NET hooks exist allowing code to be injected into its indexing process. This allows for more advanced taxonomy indexing (for example inspecting semantic information during indexing)
• Items published via Sitecore are automatically indexed (within a minute or two of publish time)
• Out-of-box support for ranking files attached to pages (PDFs, DOCs, etc) based on search term relevancy
• Supports ranking certain file types above others (giving PDFs more weight than DOCs, etc)
• Out-of-box support for crawling web pages from multiple sources. Each source can be configured with different crawl frequencies.
• Coveo 7 introduces a JavaScript search interface in conjunction with a new REST API that you can use as an alternative to the out-of-the-box Coveo .NET search interfaces. This is also customizable and even supports templating engines like mustache and underscore.
• They have a StackOverflow-like forum where you can get assistance from the community: https://answers.coveo.com/ .

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• Impressive and efficient indexing system.
• Rarely does the indexing have issues that need to rebuild/reindex.
• Searches are almost instantaneous and end users can move on to the next task.

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• UI changes were cumbersome and timely to make changes to based on business requirements and user feedback. We were not able to optimize in the UI due to the constraints.
• Analytics in the version we had were very poor. UI was built in Silverlight with no exportable version to be able to perform further analysis of data. Many product suggestions around additional metrics needed.
• We struggled around data ranking and relevance due to the amount of unstructured data that we were indexing. This caused user adoption issues. This service and guidance was something that we were never really able to get from Coveo with my time using the product. The relevance controls were very simplistic and did not give us much control.

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• Content Analytics is competing with open source software that comes with a price tag of $0, but is costly from a human-time perspective. Although human-time is valued, it's hard to see it.
• Because Content Analytics is so good at making the user interface easy, it's sometimes more difficult to do more custom analysis.
• Content Analytics does not run as quickly as other companies' analytics solutions.

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• Quick to find things in a massive database when needed.
• Results need to be more concise - sometimes we spend more time looking for the right file than if we were to just search amongst our own networks instead.
• Coveo is not always the most useful but does its job when general information is needed.

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• Content Analytics has been a positive ROI in that it made analysts more productive.
• Content Analytics has been a negative ROI in some cases because it has a much smaller user base than other open source products. This smaller user base makes it more difficult to accomplish certain tasks.
• Content Analytics has made text analytics more than delightful. I love it.

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