We performed a comparison between Amazon AWS CloudSearch 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."I've found the solution to be very scalable."
"Document indexing, text-based search API, and Geospatial searches are all good features."
"The initial setup is straightforward."
"It will remain alive in the market. The solution will be stable in the market."
"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 quality of the solution is good."
"The best feature is its scalability in that Cloud is always on the fly."
"CDN service reduces latency when accessing our web application."
"The UI is very nice, and performance wise it's quite good too."
"The most valuable feature of the solution is its utility and usefulness."
"The most valuable feature is the out of the box Kibana."
"It's a stable solution and we have not had any issues."
"You have dashboards, it is visual, there are maps, you can create canvases. It's more visual than anything that I've ever used."
"The solution is quite scalable and this is one of its advantages."
"It helps us to analyse the logs based on the location, user, and other log parameters."
"The special text processing features in this solution are very important for me."
"AWS CloudSearch's documentation isn't very clear. Also, the on-premise version of the solution is less stable than the cloud version."
"Index cleanup is sometimes painful. No easy way to clean indexes or a bulk of documents. Full indexing or regeneration of entire indexes sometimes gets stuck. In one instance, we had to delete the entire index and re-create it."
"A reboot should be enhanced."
"We'd like to see more database features."
"Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection."
"The solution should improve the recovery aspects that it has on offer."
"Security is a concern but they're working on it."
"I would say that it needs to keep its cost competitive in the market, especially in comparison to other clouds."
"Enterprise scaling of what have been essentially separate, free open source software (FOSS) products has been a challenge, but the folks at Elastic have published new add-ons (X-Pack and ECE) to help large companies grow ELK to required scales."
"It was not possible to use authentication three years back. You needed to buy the product's services for authentication."
"The documentation regarding customization could be better."
"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."
"There are potential improvements based on our client feedback, like unifying the licensing cost structure."
"There is a lack of technical people to develop, implement and optimize equipment operation and web queries."
"Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard."
"We'd like more user-friendly integrations."
Amazon AWS CloudSearch is ranked 5th in Search as a Service with 12 reviews while Elastic Search is ranked 1st in Search as a Service with 59 reviews. Amazon AWS CloudSearch is rated 8.4, while Elastic Search 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 Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". Amazon AWS CloudSearch is most compared with Solr, Amazon Kendra, Algolia, Amazon Athena and Azure Search, whereas Elastic Search is most compared with Faiss, Milvus, Azure Search, Pinecone and Sinequa. See our Amazon AWS CloudSearch vs. Elastic Search report.
See our list of best Search as a Service vendors.
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