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, Microsoft and others in Search as a Service."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."
"We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"The most valuable feature of Elastic Enterprise Search is user behavior analysis."
"The initial setup is very easy for small environments."
"The most valuable features are its user-friendly interface and seamless navigation."
"The initial installation and setup were straightforward."
"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 flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database."
"There are some token limits."
"The time it takes for indexing documents could be reduced."
"It was not possible to use authentication three years back. You needed to buy the product's services for authentication."
"The UI point of view is not very powerful because it is dependent on Kibana."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
"Performance improvement could come from skipping background refresh on search idle shards (which is already being addressed in the upcoming seventh version)."
"Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities."
"This product could be improved with additional security, and the addition of support for machine learning devices."
"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."
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, Solr and Algolia, whereas Elastic Search is most compared with Milvus, Faiss, Azure Search, Pinecone and OpenText IDOL.
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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.