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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Solr

    Score7.9 out of 10
    N/AApache Solr is an open-source enterprise search server.N/A

    Coveo Relevance Cloud

    Score7 out of 10
    N/ACoveo is an enterprise search technology which can index data on disparate cloud systems making it easier to retrieve. It has integrated plug-ins for Salesforce.com, Sitecore CEP, and Microsoft Outlook and SharePoint.

    $600

    per month

    Pricing
    Apache SolrCoveo Relevance Cloud
    Editions & Modules
    No answers on this topic
    Base
    $600
    per month
    Pro
    $1,320
    per month
    Offerings
    Pricing Offerings
    Apache SolrCoveo Relevance Cloud
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details
    More Pricing Information
    Best Alternatives
    Apache SolrCoveo Relevance Cloud
    Small Businesses
    Elasticsearch
    Score8.5 out of 10
    Elasticsearch
    Score8.5 out of 10
    Medium-sized Companies
    Elasticsearch
    Score8.5 out of 10
    Elasticsearch
    Score8.5 out of 10
    Enterprises
    Amazon CloudSearch
    Score8.5 out of 10
    Amazon CloudSearch
    Score8.5 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Apache SolrCoveo Relevance Cloud
    Likelihood to Recommend
    8.0
    (11 ratings)
    10.0
    (4 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    6.6
    (2 ratings)
    Usability
    7.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Apache SolrCoveo Relevance Cloud
    Likelihood to Recommend
    Apache
    Solr spins up nicely and works effectively for small enterprise environments providing helpful mechanisms for fuzzy searches and facetted searching. For larger enterprises with complex business solutions you'll find the need to hire an expert Solr engineer to optimize the powerful platform to your needs. Internationalization is tricky with Solr and many hosting solutions may limit you to a latin character set.
    Incentivized
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    Coveo
    Coveo Relevance Cloud is a great solution to implement into Salesforce to provide Knowledge-Centered Support, Enhancements to a Customer Community, to provide sales aids, or to complement your customized app in Salesforce.
    Incentivized
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    Pros
    Apache
    • Easy to get started with Apache Solr. Whether it is tackling a setup issue or trying to learn some of the more advanced features, there are plenty of resources to help you out and get you going.
    • Performance. Apache Solr allows for a lot of custom tuning (if needed) and provides great out of the box performance for searching on large data sets.
    • Maintenance. After setting up Solr in a production environment there are plenty of tools provided to help you maintain and update your application. Apache Solr comes with great fault tolerance built in and has proven to be very reliable.
    Incentivized
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    Coveo
    • 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.
    Incentivized
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    Cons
    Apache
    • These examples are due to the way we use Apache Solr. I think we have had the same problems with other NoSQL databases (but perhaps not the same solution). High data volumes of data and a lot of users were the causes.
    • We have lot of classifications and lot of data for each classification. This gave us several problems:
    • First: We couldn't keep all our data in Solr. Then we have all data in our MySQL DB and searching data in Solr. So we need to be sure to update and match the 2 databases in the same time.
    • Second: We needed several load balanced Solr databases.
    • Third: We needed to update all the databases and keep old data status.
    • If I don't speak about problems due to our lack of experience, the main Solr problem came from frequency of updates vs validation of several database. We encountered several locks due to this (our ops team didn't want to use real clustering, so all DB weren't updated). Problem messages were not always clear and we several days to understand the problems.
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    Coveo
    • 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.
    Incentivized
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    Likelihood to Renew
    Apache
    No answers on this topic
    Coveo
    This question is not applicable to me
    Incentivized
    Read full review
    Usability
    Apache
    It takes some time to deploy and currectly maintein it. And also, to learn how to use and integrate in the enviroment as well. Once you get theses steps done, it usability is very simple, and almost of the time it don't require no further attention on it. Even for maintence, if you deploy it on a cluster mode, it is very reliable and easy to take one host down.
    Incentivized
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    Coveo
    No answers on this topic
    Alternatives Considered
    Apache
    We tried to use both Elasticsearch and Swiftype with Drupal 8 but there are currently no good modules that integrate Drupal with those solutions. So Solr was really the only option for a Drupal 8 web site. It's not as easy to learn or use as Swiftype, but in the end I think it will be a little less expensive and offer more customization and flexibility.
    Incentivized
    Read full review
    Coveo
    No answers on this topic
    Return on Investment
    Apache
    • It has enabled my organization to find information faster by being a one-stop service to search across content that were indexed from varying sources.
    • By using synonyms and usual lemmatizations / stemming, it enabled discovery of new content following every search.
    Incentivized
    Read full review
    Coveo
    • 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.
    Incentivized
    Read full review
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