We performed a comparison between Amazon AWS CloudSearch and Amazon Kendra 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."It's the best solution for any company. It has a hosting ERP system for any task. AWS is stable. AWS is more flexible and its elastic concept is a new concept. AWS is also very secure. It has many layers of security, like hardware security and software security. This is a big issue."
"The initial setup is straightforward."
"It is remarkably efficient and beneficial."
"The most valuable feature of Amazon AWS CloudSearch is its ability to receive data quickly. You can access your data easily in a short time."
"AWS CloudSearch's best features are good performance under high CPU and memory use, and ease of deployment and scaling."
"I've found the solution to be very scalable."
"The most valuable feature of Amazon AWS CloudSearch is the cloud aspect. I do not need to have the physical infrastructure, everything is in the cloud."
"The best feature is its scalability in that Cloud is always on the fly."
"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."
"The price of the solution can be expensive."
"Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection."
"Regarding the period of propagation on CDN servers, sometimes we update photos or files and we don't see the update instantly. We need to wait for sometime."
"I do not have any suggestions for improvements at this time."
"The solution should improve the recovery aspects that it has on offer."
"Index cleanup is sometimes painful. No easy way to clean indexes or a bulk of documents. Full indexing or regeneration of entire indexes sometimes gets stuck. In one instance, we had to delete the entire index and re-create it."
"Latlon data type only supports single value per document. All other types support multiple values. We faced issues with this because we had scenarios where, for each document, we needed to store multiple latlon values for different geographical locations."
"A reboot should be enhanced."
"The time it takes for indexing documents could be reduced."
"There are some token limits."
Amazon AWS CloudSearch is ranked 5th in Search as a Service with 12 reviews while Amazon Kendra is ranked 2nd in Search as a Service with 2 reviews. Amazon AWS CloudSearch is rated 8.4, while Amazon Kendra is rated 7.6. The top reviewer of Amazon AWS CloudSearch writes "A reasonably priced solution that provides scalability, stability, reliability, and security". On the other hand, the top reviewer of Amazon Kendra writes "Kendra has a nice AI built-in, enhancing the search experience and highly stable solution". Amazon AWS CloudSearch is most compared with Solr, Algolia, Amazon Athena, Elastic Search and Azure Search, whereas Amazon Kendra is most compared with Azure Search, Amazon Elasticsearch Service, Elastic Search, Solr and Algolia.
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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.
