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."The best feature is its scalability in that Cloud is always on the fly."
"The initial setup is straightforward."
"It's the best solution for any company. It has a hosting ERP system for any task. AWS is stable. AWS is more flexible and its elastic concept is a new concept. AWS is also very secure. It has many layers of security, like hardware security and software security. This is a big issue."
"AWS CloudSearch's best features are good performance under high CPU and memory use, and ease of deployment and scaling."
"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."
"It will remain alive in the market. The solution will be stable in the market."
"The quality of the solution is good."
"It is remarkably efficient and beneficial."
"It helps us to analyse the logs based on the location, user, and other log parameters."
"The solution is valuable for log analytics."
"The initial setup is very easy for small environments."
"The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs."
"It is stable."
"The most valuable feature of Elastic Enterprise Search is user behavior analysis."
"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 most valuable feature of the solution is its utility and usefulness."
"A reboot should be enhanced."
"Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection."
"The price of the solution can be expensive."
"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."
"The solution should improve the recovery aspects that it has on offer."
"I would say that it needs to keep its cost competitive in the market, especially in comparison to other clouds."
"I do not have any suggestions for improvements at this time."
"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."
"Performance improvement could come from skipping background refresh on search idle shards (which is already being addressed in the upcoming seventh version)."
"They're making changes in their architecture too frequently."
"They could improve some of the platform's infrastructure management capabilities."
"The metadata gets stored along with indexes and isn't queryable."
"Kibana should be more friendly, especially when building dashboards."
"Better dashboards or a better configuration system would be very good."
"Improving machine learning capabilities would be beneficial."
"The reports could improve."
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, Pinecone, Azure Search and Coralogix. 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.