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."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."
"AWS CloudSearch's best features are good performance under high CPU and memory use, and ease of deployment and scaling."
"It will remain alive in the market. The solution will be stable in the market."
"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."
"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 best feature is its scalability in that Cloud is always on the fly."
"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."
"The tool's stability and performance are good."
"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 most valuable feature for us is the analytics that we can configure and view using Kibana."
"There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it."
"A good use case is saving metadata of your systems for data cataloging. Various systems, like those opened in metadata and similar applications, use Elasticsearch to store their text data."
"The forced merge and forced resonate features reduce the data size increasing reliability."
"The products comes with REST APIs."
"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."
"The solution should improve the recovery aspects that it has on offer."
"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."
"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."
"AWS CloudSearch's documentation isn't very clear. Also, the on-premise version of the solution is less stable than the cloud version."
"Elastic Enterprise Search could improve the report templates."
"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."
"We have an issue with the volume of data that we can handle."
"Machine learning on search needs improvement."
"There are a lot of manual steps on the operating system. It could be simplified in the user interface."
"Technical support should be faster."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
"Performance improvement could come from skipping background refresh on search idle shards (which is already being addressed in the upcoming seventh version)."
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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