We performed a comparison between Amazon AWS CloudSearch and Amazon Elasticsearch Service 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 feature of Amazon AWS CloudSearch is its ability to receive data quickly. You can access your data easily in a short time."
"The initial setup is straightforward."
"It is remarkably efficient and beneficial."
"The best feature is its scalability in that Cloud is always on the fly."
"Document indexing, text-based search API, and Geospatial searches are all good features."
"The quality of the solution is good."
"CDN service reduces latency when accessing our web application."
"The most valuable feature of Amazon AWS CloudSearch is the cloud aspect. I do not need to have the physical infrastructure, everything is in the cloud."
"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 initial set up is very easy...We really appreciate Amazon!"
"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."
"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."
"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 solution should improve the recovery aspects that it has on offer."
"Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection."
"Latlon data type only supports single value per document. All other types support multiple values. We faced issues with this because we had scenarios where, for each document, we needed to store multiple latlon values for different geographical locations."
"Regarding the period of propagation on CDN servers, sometimes we update photos or files and we don't see the update instantly. We need to wait for sometime."
"I would say that it needs to keep its cost competitive in the market, especially in comparison to other clouds."
"A reboot should be enhanced."
"Maybe they are common in Egypt, but you should make a request on Amazon to create a function to monitor CPU performance, memory, and files. It is very difficult in AWS. I would tell them it should be simple, just drag and drop. I think they could develop this option so we can drag and drop to monitor performance of the processor and memory."
"Security is a concern but they're working on it."
"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."
"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."
"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."
Amazon AWS CloudSearch is ranked 5th in Search as a Service with 12 reviews while Amazon Elasticsearch Service is ranked 3rd in Search as a Service with 6 reviews. Amazon AWS CloudSearch is rated 8.4, while Amazon Elasticsearch Service is rated 8.2. The top reviewer of Amazon AWS CloudSearch writes "A reasonably priced solution that provides scalability, stability, reliability, and security". On the other hand, the top reviewer of Amazon Elasticsearch Service writes "Easy to use, efficient, and straightforward installation". Amazon AWS CloudSearch is most compared with Solr, Amazon Kendra, Algolia and Amazon Athena, whereas Amazon Elasticsearch Service is most compared with Amazon Athena, Amazon Kendra and Elastic Search. See our Amazon AWS CloudSearch vs. Amazon Elasticsearch Service report.
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