Amazon Kendra vs Solr comparison

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Executive Summary

We performed a comparison between Amazon Kendra and Solr based on real PeerSpot user reviews.

Find out what your peers are saying about Elastic, Amazon Web Services (AWS), Microsoft and others in Search as a Service.
To learn more, read our detailed Search as a Service Report (Updated: May 2024).
770,924 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Provides flexibility to tune the relevance and ranking of results.""We have good use cases where stability is everything. So it's a stable solution."

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"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.""It has improved our search ranking, relevancy, search performance, and user retention.""The most valuable feature is the ability to perform a natural language search.""​Sharding data, Faceting, Hit Highlighting, parent-child Block Join and Grouping, and multi-mode platform are all valuable features."

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Cons
"The time it takes for indexing documents could be reduced.""There are some token limits."

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"SolrCloud stability, indexing and commit speed, and real-time Indexing need improvement.""With increased sharding, performance degrades. Merger, when present, is a bottle-neck. Peer-to-peer sync has issues in SolrCloud when index is incrementally updated.""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 tutorials to help with training or troubleshooting.""Encountered issues with both master-slave and SolrCloud. Indexing and serving traffic from same collection has very poor performance. Some components are slow for searching.""The performance for this solution, in terms of queries, could be improved."

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Pricing and Cost Advice
  • "The pricing falls in the medium range."
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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:We have good use cases where stability is everything. So it's a stable solution.
    Top Answer:The pricing falls in the medium range. The cost depends on the size of your use case because it has a fixed cost, not a variable. The licensing is on a monthly basis. There are no extra costs. Only… more »
    Top Answer:There are some token limits. We cannot ask questions with more than 30 tokens. Access cannot be more than 200 tokens. And the token is also, like, one point. Then views are very hard limits, and it is… more »
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    Ranking
    2nd
    out of 13 in Search as a Service
    Views
    3,795
    Comparisons
    2,803
    Reviews
    1
    Average Words per Review
    740
    Rating
    8.0
    8th
    out of 13 in Search as a Service
    Views
    1,204
    Comparisons
    922
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Learn More
    Overview

    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.
    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
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company15%
    Manufacturing Company8%
    Government7%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    Government9%
    Real Estate/Law Firm6%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise12%
    Large Enterprise62%
    Buyer's Guide
    Search as a Service
    May 2024
    Find out what your peers are saying about Elastic, Amazon Web Services (AWS), Microsoft and others in Search as a Service. Updated: May 2024.
    770,924 professionals have used our research since 2012.

    Amazon Kendra is ranked 2nd in Search as a Service with 2 reviews while Solr is ranked 8th in Search as a Service. Amazon Kendra is rated 7.6, while Solr is rated 7.8. The top reviewer of Amazon Kendra writes "Kendra has a nice AI built-in, enhancing the search experience and highly stable solution". On the other hand, the top reviewer of Solr writes "Good indexing and decent stability, but requires more documentation". Amazon Kendra is most compared with Azure Search, Amazon Elasticsearch Service, Amazon AWS CloudSearch and Elastic Search, whereas Solr is most compared with Amazon AWS CloudSearch, Elastic 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.