We performed a comparison between Amazon Kendra and Elastic Search 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."We have good use cases where stability is everything. So it's a stable solution."
"Provides flexibility to tune the relevance and ranking of results."
"A nonstructured database that can manage large amounts of nonstructured data."
"The solution is stable and reliable."
"We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company."
"The initial setup is very easy for small environments."
"The AI-based attribute tagging is a valuable feature."
"It is highly valuable because of its simplicity in maintenance, where most tasks are handled for you, and it offers a plethora of built-in features."
"The most valuable feature is the out of the box Kibana."
"The most valuable feature of Elastic Enterprise Search is the Discovery option for the visualization of logs on a GPU instead of on the server."
"The time it takes for indexing documents could be reduced."
"There are some token limits."
"I would like to be able to do correlations between multiple indexes."
"Elastic Search needs to improve its technical support. It should be customer-friendly and have good support."
"The documentation regarding customization could be better."
"Elastic Enterprise Search's tech support is good but it could be improved."
"Improving machine learning capabilities would be beneficial."
"There is an index issue in which the data starts to crash as it increases."
"They should improve its documentation. Their official documentation is not very informative. They can also improve their technical support. They don't help you much with the customized stuff. They also need to add more visuals. Currently, they have line charts, bar charts, and things like that, and they can add more types of visuals. They should also improve the alerts. They are not very simple to use and are a bit complex. They could add more options to the alerting system."
"Elastic Enterprise Search can improve by adding some kind of search that can be used out of the box without too much struggle with configuration. With every kind of search engine, there is some kind of special function that you need to do. A simple out-of-the-box search would be useful."
Amazon Kendra is ranked 2nd in Search as a Service with 2 reviews while Elastic Search is ranked 1st in Search as a Service with 59 reviews. Amazon Kendra is rated 7.6, while Elastic Search is rated 8.2. 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 Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". Amazon Kendra is most compared with Azure Search, Amazon Elasticsearch Service, Amazon AWS CloudSearch, Algolia and Solr, whereas Elastic Search is most compared with Faiss, Milvus, Azure Search, Pinecone and OpenText IDOL.
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.