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."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."
"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 stability of the product is good."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"It's a good log management platform. In terms of infrastructure management, it's good."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"The initial set up is very easy...We really appreciate Amazon!"
"The forced merge and forced resonate features reduce the data size increasing reliability."
"We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company."
"The solution is quite scalable and this is one of its advantages."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"The most valuable feature of the solution is its utility and usefulness."
"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."
"We can easily collect all the data and view historical trends using the product. We can view the applications and identify the issues effectively."
"The most valuable feature of Elastic Enterprise Search is the Discovery option for the visualization of logs on a GPU instead of on the server."
"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."
"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 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."
"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."
"Technical support should be faster."
"Elastic Enterprise Search can improve by adding some kind of search that can be used out of the box without too much struggle with configuration. With every kind of search engine, there is some kind of special function that you need to do. A simple out-of-the-box search would be useful."
"We'd like more user-friendly integrations."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"They could improve some of the platform's infrastructure management capabilities."
"There is a lack of technical people to develop, implement and optimize equipment operation and web queries."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff."
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 Faiss, Milvus, Azure Search, Pinecone and Amazon Kendra. See our Amazon Elasticsearch Service vs. Elastic Search report.
See our list of best Search as a Service vendors.
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