We performed a comparison between Amazon Elasticsearch Service 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 a good log management platform. In terms of infrastructure management, it's good."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"Regarding valuable features of the solution, we found with the process, which we have used in both cases where we used the solution that while you're seeing the streaming of data, you can analyze in the initial phase what sort of data you are streaming and whether it is valuable."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"The initial set up is very easy...We really appreciate Amazon!"
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"The most valuable features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful."
"The stability of the product is good."
"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."
"Amazon Elasticsearch can improve the bullion in the near search and the ease of integration with Kibana. Additionally, there could be more flexibility in the configuration and documentation."
"One glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become problematic."
"There is a problem with the database. Amazon only provides the hosting to run our applications bias, but there is no option to manage the database within the Elasticsearch product."
"I would say that, basically, the configuration part is an area with a shortcoming...Some upgradation is required on the configuration side so that we can get to use it."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"The configuration should be more straightforward because we had to select a lot of things."
"There are some token limits."
"The time it takes for indexing documents could be reduced."
Amazon Elasticsearch Service is ranked 3rd in Search as a Service with 6 reviews while Amazon Kendra is ranked 2nd in Search as a Service with 2 reviews. Amazon Elasticsearch Service is rated 8.2, while Amazon Kendra is rated 7.6. The top reviewer of Amazon Elasticsearch Service writes "Easy to use, efficient, and straightforward installation". 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 Elasticsearch Service is most compared with Amazon Athena, Elastic Search and Amazon AWS CloudSearch, whereas Amazon Kendra is most compared with Azure Search, Amazon AWS CloudSearch, Elastic Search, Algolia and Solr.
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.
