Coveo Relevance Cloud vs IBM Watson Content Analytics

• Coveo is fast, search results come up quick (though it's not always great).
• Not much complexity to run.
• Coveo is implemented within our portal and doesn't require extra steps to use it.

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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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• It would be great if Coveo 6 allowed you to rebuild indexes from a certain subtree instead of needing to rebuild the entire tree to see changes. This functionality was added in Coveo 7 and is very useful.
• In Coveo 6, integration with Sitecore is more difficult than one would expect. This integration is much improved in Coveo 7.
• I have seen cases where an exception thrown when crawling a specific document will cause the indexing to stop completely. I believe this only happens in implementations using custom faceting but it could be handled more efficiently if the trouble document was skipped and the indexing could continue.
• Relevancy ranking editor is good but not as powerful as GSA. GSA offers a self-learning scorer which automatically analyzes user behavior and the specific links that users click on for specific queries to fine tune relevance and scoring.
• We've ran into issues on multiple clients with Sitecore items being indexed multiple times in Sitecore 7 and Coveo 7. The fix Coveo suggested was to upgrade our Sitecore version and Coveo but unfortunately this didn't resolve our issue. After months of testing we were finally able to resolve this by implementing our own CoveoItemCrawler to get around the issue (based on https://developers.coveo.com/display/public/SC201404/Items+in+the+Same+Language+Gets+Indexed+Multiple+Times;jsessionid=3C1A2AE33540E0A0B8BB52BA3A64AF70).
• Integration with RabbitMQ in Coveo 7 seems error prone. We often see the error "The AMQP operation was interrupted" and on occasion, need to restart the Coveo service to get this operating again. In some extreme cases, we have also had to restart the server because of issues when attempting to restart the Coveo service.

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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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