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."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 the cloud aspect. I do not need to have the physical infrastructure, everything is in the cloud."
"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."
"The quality of the solution is good."
"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."
"CDN service reduces latency when accessing our web application."
"Document indexing, text-based search API, and Geospatial searches are all good features."
"The solution is valuable for log analytics."
"I have found the sort capability of Elastic very useful for allowing us to find the information we need very quickly."
"Search is really powerful."
"I like how it allows us to connect to Kafka and get this data in a document format very easily. Elasticsearch is very fast when you do text-based searches of documents. That area is very good, and the search is very good."
"The initial installation and setup were straightforward."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"It's a stable solution and we have not had any issues."
"Implementing the main requirements regarding my support portal."
"AWS CloudSearch's documentation isn't very clear. Also, the on-premise version of the solution is less stable than the cloud version."
"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."
"Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection."
"I would say that it needs to keep its cost competitive in the market, especially in comparison to other clouds."
"The solution should improve the recovery aspects that it has on offer."
"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."
"I do not have any suggestions for improvements at this time."
"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."
"They're making changes in their architecture too frequently."
"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."
"Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI."
"Could have more open source tools and testing."
"The metadata gets stored along with indexes and isn't queryable."
"They should improve its documentation. Their official documentation is not very informative. They can also improve their technical support. They don't help you much with the customized stuff. They also need to add more visuals. Currently, they have line charts, bar charts, and things like that, and they can add more types of visuals. They should also improve the alerts. They are not very simple to use and are a bit complex. They could add more options to the alerting system."
"I would like to see more integration for the solution with different platforms."
"The UI point of view is not very powerful because it is dependent on Kibana."
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.