Coveo Relevance Platform vs iManage Insight

• 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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• It adheres to traditional Microsoft standards such as: fact-dump documentation with no coherent story or 'best practices' information, inability to automate common tasks, intentional obfuscation of its basic operations.
• It provides OK search results. Not great, but OK.

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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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• There are about a dozen different config files to maintain, and the most important one is dynamically modified by Autonomy itself while it runs. Which means that it is impossible to automate the configuration or keep the configs in versioned source control. Even `cp *.cfg ~/cfgbak/` won't help you roll back a change, because it is never safe to restore a previous config. You'll be using `diff new.cfg old.cfg` a lot.
• The Linux port is poorly thought out. The binaries are named *.exe. The StartService.sh scripts contain both `echo 'Are you sure you want to start the service? Hit ctrl-C to cancel''; read dummy` and, I kid you not, a `chmod a+x /path/to/my/binary.exe`.
• Many features are poorly documented, leading to lots of back and forth with the support department just to answer basic questions like "what does this error code in my logs signify?"
• It seems to reinvent the wheel, poorly, everywhere. E.g. the scheduled backup feature rolls through a user-defined finite list of directories in which to store backups. On day 0 it uses directory 0, on day 1 it uses directory 1, and after day N it rolls back and overwrites directory 0. Why would this be preferable to using a single directory and naming zip files based on the current timestamp?

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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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• I have learned to tack a zero onto the end of any estimate I make for how long an Autonomy change will take in both planning and implementation.

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