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."CDN service reduces latency when accessing our web application."
"The quality of the solution is good."
"I've found the solution to be very scalable."
"The initial setup is straightforward."
"It is remarkably efficient and beneficial."
"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 best feature is its scalability in that Cloud is always on the fly."
"Elastic Enterprise Search is scalable. On a scale of one to 10, with one being not scalable and 10 being very scalable, I give Elastic Enterprise Search a 10."
"The observability is the best available because it provides granular insights that identify reasons for defects."
"It is stable."
"Search is really powerful."
"The ability to aggregate log and machine data into a searchable index reduces time to identify and isolate issues for an application. Saves time in triage and incident response by eliminating manual steps to access and parse logs on separate systems, within large infrastructure footprints."
"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 features are the detection and correlation features."
"The special text processing features in this solution are very important for me."
"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."
"We'd like to see more database features."
"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."
"AWS CloudSearch's documentation isn't very clear. Also, the on-premise version of the solution is less stable than the cloud version."
"I would say that it needs to keep its cost competitive in the market, especially in comparison to other clouds."
"Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection."
"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."
"Security is a concern but they're working on it."
"The different applications need to be individually deployed."
"Ratio aggregation is not supported in this solution."
"Improving machine learning capabilities would be beneficial."
"We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff."
"The solution must provide AI integrations."
"Machine learning on search needs improvement."
"I have not been using the solution for many years to know exactly the improvements needed. However, they could simplify how the YML files have to be structured properly."
"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."
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.
We monitor all Search as a Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
