We performed a comparison between Amazon Elasticsearch Service 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."It's a good log management platform. In terms of infrastructure management, it's good."
"The initial set up is very easy...We really appreciate Amazon!"
"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."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"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."
"Search is really powerful."
"The special text processing features in this solution are very important for me."
"It is easy to scale with the cluster node model."
"The most valuable features are the data store and the X-pack extension."
"The most valuable features of Elastic Enterprise Search are it's cloud-ready and we do a lot of infrastructure as code. By using ELK, we're able to deploy the solution as part of our ISC deployment."
"The UI is very nice, and performance wise it's quite good too."
"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."
"We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company."
"The configuration should be more straightforward because we had to select a lot of things."
"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."
"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."
"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."
"Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities."
"Elastic Enterprise Search's tech support is good but it could be improved."
"There is a lack of technical people to develop, implement and optimize equipment operation and web queries."
"This product could be improved with additional security, and the addition of support for machine learning devices."
"I would like to be able to do correlations between multiple indexes."
"It needs email notification, similar to what Logentries has. Because of the notification issue, we moved to Logentries, as it provides a simple way to receive notification whenever a server encounters an error or unexpected conditions (which we have defined using RegEx)."
"I don't see improvements at the moment. The current setup is working well for me, and I'm satisfied with it. Integrating with different platforms is also fine, and I'm not recommending any changes or enhancements right now."
"The GUI is the part of the program which has the most room for improvement."
Amazon Elasticsearch Service is ranked 3rd in Search as a Service with 6 reviews while Elastic Search is ranked 1st in Search as a Service with 59 reviews. Amazon Elasticsearch Service is rated 8.2, while Elastic Search is rated 8.2. The top reviewer of Amazon Elasticsearch Service writes "Easy to use, efficient, and straightforward installation". On the other hand, the top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". Amazon Elasticsearch Service is most compared with Amazon Athena, Amazon Kendra and Amazon AWS CloudSearch, whereas Elastic Search is most compared with Milvus, Faiss, Azure Search, Amazon Kendra and Exalead. See our Amazon Elasticsearch Service 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.