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."
"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."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"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!"
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"The stability of the product is good."
"The solution is valuable for log analytics."
"It's a stable solution and we have not had any issues."
"The UI is very nice, and performance wise it's quite good too."
"Implementing the main requirements regarding my support portal."
"The special text processing features in this solution are very important for me."
"Gives us a more user-friendly, centralized solution (for those who just needed a quick glance, without being masters of sed and awk) as well as the ability to implement various mechanisms for machine-learning from our logs, and sending alerts for anomalies."
"The most valuable feature for us is the analytics that we can configure and view using Kibana."
"You have dashboards, it is visual, there are maps, you can create canvases. It's more visual than anything that I've ever used."
"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."
"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."
"The configuration should be more straightforward because we had to select a lot of things."
"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."
"The different applications need to be individually deployed."
"Technical support should be faster."
"The reports could improve."
"I would rate the stability a seven out of ten. We faced a few issues."
"The price could be better. Kibana has some limitations in terms of the tablet to view event logs. I also have a high volume of data. On the initialization part, if you chose Kibana, you'll have some limitations. Kibana was primarily proposed as a log data reviewer to build applications to the viewer log data using Kibana. Then it became a virtualization tool, but it still has limitations from a developer's point of view."
"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."
"There is a lack of technical people to develop, implement and optimize equipment operation and web queries."
"Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI."
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, Pinecone, Azure Search 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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