We performed a comparison between Amazon Kendra and Elastic Search based on real PeerSpot user reviews.
Find out in this report how the two Search as a Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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 is stable."
"The most valuable feature for us is the analytics that we can configure and view using Kibana."
"Dashboard is very customizable."
"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."
"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."
"It gives us the possibility to store and query this data and also do this efficiently and securely and without delays."
"ELK Elasticsearch is 100% scalable as scalability is built into the design"
"The most valuable features are the detection and correlation features."
"There are some token limits."
"The time it takes for indexing documents could be reduced."
"There are challenges with performance management and scalability."
"We'd like more user-friendly integrations."
"It was not possible to use authentication three years back. You needed to buy the product's services for authentication."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"Elasticsearch could improve by honoring Unix environmental variables and not relying only on those provided by Java (e.g. installing plugins over the Unix http proxy)."
"Enterprise scaling of what have been essentially separate, free open source software (FOSS) products has been a challenge, but the folks at Elastic have published new add-ons (X-Pack and ECE) to help large companies grow ELK to required scales."
"The one area that can use improvement is the automapping of fields."
"They're making changes in their architecture too frequently."
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, Pinecone, Azure Search and Qdrant. See our Amazon Kendra vs. Elastic Search report.
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.