We performed a comparison between Algolia and Amazon Elasticsearch Service 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."The Algolia solution really helped us to improve our conversion rate and click through rate."
"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."
"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."
"The stability of the product is 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."
"The initial set up is very easy...We really appreciate Amazon!"
"It's a good log management platform. In terms of infrastructure management, it's good."
"I think they could improve the analytics view."
"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."
"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."
"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 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."
Algolia is ranked 7th in Search as a Service with 1 review while Amazon Elasticsearch Service is ranked 3rd in Search as a Service with 6 reviews. Algolia is rated 9.0, while Amazon Elasticsearch Service is rated 8.2. The top reviewer of Algolia writes "Focused capabilities, specialists in what they do, with consistent stability". On the other hand, the top reviewer of Amazon Elasticsearch Service writes "Easy to use, efficient, and straightforward installation". Algolia is most compared with Amazon AWS CloudSearch, Amazon Kendra, Elastic Search, Azure Search and Solr, whereas Amazon Elasticsearch Service is most compared with Amazon Athena, Amazon Kendra, Elastic Search and Amazon AWS CloudSearch.
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.
