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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon Kendra

    Score8.7 out of 10
    N/AAmazon Kendra is presented by the vendor as an accurate and easy to use enterprise search service powered by machine learning.N/A

    Apache Solr

    Score7.9 out of 10
    N/AApache Solr is an open-source enterprise search server.N/A
    Pricing
    Amazon KendraApache Solr
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Amazon KendraApache Solr
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Best Alternatives
    Amazon KendraApache Solr
    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
    Amazon KendraApache Solr
    Likelihood to Recommend
    8.7
    (2 ratings)
    8.0
    (11 ratings)
    Usability
    -
    (0 ratings)
    7.0
    (1 ratings)
    User Testimonials
    Amazon KendraApache Solr
    Likelihood to Recommend
    Amazon AWS
    An intelligent search solution that makes it easy to find the information employees and customers want to know without migrating from one place to another and without wasting time with just a few clicks, Amazon Kendra connects relevant data sources through fully functional and customizable search while minimizing risks increasing workflow by obtaining detailed results.
    Incentivized
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    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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    Pros
    Amazon AWS
    • Extremely accurate.
    • Easy to use and setup.
    • Great search engine.
    • Powerful research tool.
    Incentivized
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    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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    Cons
    Amazon AWS
    • Amazon Kendra is an intelligent search service that facilitates the way we obtain information by making it easier to obtain accurate documents without wasting time, it is a software that is designed to work in an optimized way, providing a business quality service with flexible features and innumerable benefits. , it is effective and fresh.
    Incentivized
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    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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    Usability
    Amazon AWS
    No answers on this topic
    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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    Alternatives Considered
    Amazon AWS
    Amazon Kendra offers an intelligent search experience, it is a tool that facilitates the way we work by providing secure and immediate results, saves time, increases productivity and brings progress. It is the best way to get accurate answers using natural language. It is a software that works in an extraordinary way, being easy to implement, safe and effective, the experience is unique.
    Incentivized
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    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
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    Return on Investment
    Amazon AWS
    • Ease of use of website, converting in more sales.
    • Better internal documentation, reducing emails back-and-forth.
    Incentivized
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    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
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