We performed a comparison between Amazon Elasticsearch Service and Amazon Kendra 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."The initial set up is very easy...We really appreciate Amazon!"
"The stability of the product is good."
"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."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"It's a good log management platform. In terms of infrastructure management, it's good."
"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."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"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."
"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."
"The configuration should be more straightforward because we had to select a lot of things."
"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."
"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."
"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 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 Amazon Elasticsearch Service vs. Amazon Kendra report.
See our list of best Search as a Service vendors.
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