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."In case there is a failure, Elastic manages everything well, and there no major downtime."
"It's a good log management platform. In terms of infrastructure management, it's good."
"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 most valuable features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful."
"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 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!"
"You have dashboards, it is visual, there are maps, you can create canvases. It's more visual than anything that I've ever used."
"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."
"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."
"A nonstructured database that can manage large amounts of nonstructured data."
"ELK Elasticsearch is 100% scalable as scalability is built into the design"
"I have found the sort capability of Elastic very useful for allowing us to find the information we need very quickly."
"It's a stable solution and we have not had any issues."
"Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time analytics with Elastic benefits us due to the huge traffic volume in our organization, which reaches up to 60,000 requests per second. With logs of approximately 25 GB per day, manually analyzing traffic behavior, payloads, headers, user agents, and other details is impractical."
"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."
"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."
"The configuration should be more straightforward because we had to select a lot of things."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"The solution has quite a steep learning curve. The usability and general user-friendliness could be improved. However, that is kind of typical with products that have a lot of flexibility, or a lot of capabilities. Sometimes having more choices makes things more complex. It makes it difficult to configure it, though. It's kind of a bitter pill that you have to swallow in the beginning and you really have to get through it."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"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."
"Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard."
"We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff."
"Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities."
"The documentation regarding customization could be better."
"There are some features lacking in ELK Elasticsearch."
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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