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Amazon Kendra vs Solr comparison

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3,120 views|2,302 comparisons
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
"Provides flexibility to tune the relevance and ranking of results."

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"The most valuable feature is the ability to perform a natural language search."

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"The time it takes for indexing documents could be reduced."

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"The performance for this solution, in terms of queries, could be improved."

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Pricing and Cost Advice
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  • "The only costs in addition to the standard licensing fees are related to the hardware, depending on whether it is cloud-based, or on-premise."
  • More Solr Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Provides flexibility to tune the relevance and ranking of results.
    Top Answer:This is a pay per use solution. The calculation depends heavily on the number of documents, and the time we spend using that index.
    Top Answer:In terms of improvement, cost is high on the list because this is a very expensive product. The solution could also be improved if the time for indexing documents could be reduced and it could be made… more »
    Top Answer:One of the best aspects of the solution is the indexing. It's already indexed to all the fields in the category. We don't need to spend so much extra effort to do the indexing. It's great.
    Top Answer:The solution's grammar and syntax should be easier. It does take a little bit of effort to use and understand the solution. It would help us a lot if the solution offered up more documentation or… more »
    Top Answer:We use the solution in the telecommunications industry.
    out of 12 in Search as a Service
    Average Words per Review
    out of 12 in Search as a Service
    Average Words per Review
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    Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning. Kendra enables developers to add search capabilities to their applications so their end users can discover information stored within the vast amount of content spread across their company. This includes data from manuals, research reports, FAQs, HR documentation, customer service guides, and is found across various systems such as file systems, web sites, Box, DropBox, Salesforce, SharePoint, relational databases, Amazon S3, and more. When you type a question, the service uses machine learning algorithms to understand the context and return the most relevant results, whether that be a precise answer or an entire document. For example, you can ask a question like "How much is the cash reward on the corporate credit card?” and Kendra will map to the relevant documents and return a specific answer like “2%”. Kendra provides sample code so that you can get started quickly and easily integrate highly accurate search into your new or existing applications.

    Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
    Learn more about Amazon Kendra
    Learn more about Solr
    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    eHarmony, Sears, StubHub, Best Buy, Instagram, Netflix, Disney, AT&T, eBay, AOL, Bloomberg, Comcast, Ticketmaster, Travelocity, MTV Networks
    Top Industries
    Media Company18%
    Computer Software Company16%
    Financial Services Firm11%
    Comms Service Provider11%
    Computer Software Company17%
    Financial Services Firm13%
    Comms Service Provider8%
    Company Size
    Small Business12%
    Midsize Enterprise11%
    Large Enterprise77%
    Small Business17%
    Midsize Enterprise18%
    Large Enterprise65%

    Amazon Kendra is ranked 2nd in Search as a Service with 1 review while Solr is ranked 7th in Search as a Service with 1 review. Amazon Kendra is rated 7.0, while Solr is rated 8.0. The top reviewer of Amazon Kendra writes "Tunes the relevance and ranking of results which improves accuracy; price is very high". On the other hand, the top reviewer of Solr writes "The Natural Language Search capability is helpful and intuitive for our users". Amazon Kendra is most compared with Amazon Elasticsearch Service, Amazon AWS CloudSearch, Azure Search, Elastic Enterprise Search and Algolia, whereas Solr is most compared with Amazon AWS CloudSearch, Elastic Enterprise Search, Azure Search and Algolia.

    See our list of best Search as a Service vendors.

    We monitor all Search as a Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.