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."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."
"It gives us the possibility to store and query this data and also do this efficiently and securely and without delays."
"The solution is valuable for log analytics."
"Gives us a more user-friendly, centralized solution (for those who just needed a quick glance, without being masters of sed and awk) as well as the ability to implement various mechanisms for machine-learning from our logs, and sending alerts for anomalies."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"ELK Elasticsearch is 100% scalable as scalability is built into the design"
"The observability is the best available because it provides granular insights that identify reasons for defects."
"The solution has great scalability."
"The product is scalable with good performance."
"The time it takes for indexing documents could be reduced."
"There are some token limits."
"There are potential improvements based on our client feedback, like unifying the licensing cost structure."
"It is hard to learn and understand because it is a very big platform. This is the main reason why we still have nothing in production. We have to learn some things before we get there."
"Ratio aggregation is not supported in this solution."
"I would like to see more integration for the solution with different platforms."
"We'd like to see more integration in the future, especially around service desks or other ITSM tools."
"The solution must provide AI integrations."
"The one area that can use improvement is the automapping of fields."
"Elastic Enterprise Search's tech support is good but it could be improved."
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 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.