Compare Algolia vs. Amazon Kendra

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Algolia Logo
665 views|584 comparisons
Amazon Kendra Logo
2,196 views|1,773 comparisons
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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 »
Ranking
8th
out of 11 in Search as a Service
Views
665
Comparisons
584
Reviews
0
Average Words per Review
0
Rating
N/A
5th
out of 11 in Search as a Service
Views
2,196
Comparisons
1,773
Reviews
1
Average Words per Review
451
Rating
7.0
Comparisons
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Overview

Algolia helps businesses across industries quickly create relevant, scalable, and lightning fast search and discovery experiences. Algolia’s mission is to make every search interaction meaningful and rewarding. Our hosted platform reduces the complexity of building relevant digital experiences. More than 7,500 companies like WW, Lacoste, Twitch, Medium and Stripe rely on Algolia’s enterprise-grade APIs to manage over 60 billion search queries a month.

Founded in 2012, Algolia is backed by $74M in funding from Accel Partners, Alven Capital, Point Nine Capital and Storm Ventures. The team is headquartered in San Francisco with offices in Paris, London, New York, and Atlanta. To learn more, visit www.algolia.com.

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.

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Sample Customers
Birchbox, Twitch, Lacoste, Stripe, WW, Medium, Cousera, National Geographic, Zendesk, Magento
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Top Industries
VISITORS READING REVIEWS
Comms Service Provider30%
Computer Software Company24%
Media Company9%
Healthcare Company7%
VISITORS READING REVIEWS
Media Company33%
Computer Software Company19%
Comms Service Provider15%
Energy/Utilities Company5%
Find out what your peers are saying about Elastic, Amazon, Microsoft and others in Search as a Service. Updated: September 2021.
534,226 professionals have used our research since 2012.

Algolia is ranked 8th in Search as a Service while Amazon Kendra is ranked 5th in Search as a Service with 1 review. Algolia is rated 0.0, while Amazon Kendra is rated 7.0. On the other hand, the top reviewer of Amazon Kendra writes "Tunes the relevance and ranking of results which improves accuracy; price is very high". Algolia is most compared with Amazon AWS CloudSearch, ELK Elasticsearch, Amazon Elasticsearch Service and Solr, whereas Amazon Kendra is most compared with Amazon Elasticsearch Service, Amazon AWS CloudSearch, Azure Search, Solr and ELK Elasticsearch.

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.