We performed a comparison between Amazon Athena and Amazon AWS CloudSearch 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."Amazon Athena is very stable. I never had any issues with it. The dashboarding tool is okay."
"It's easy to set up the product."
"Athena has a really good UI and is very compatible with on-prem products."
"You can perform SQL queries in S3 using Athena."
"The solution is very easy to use and integrations are very smooth."
"One of the most valuable features is the ability to partition your databases. I also like the federal query functionality, for cases when you have to query outside your S3 storage, or even completely outside of the AWS platform."
"I've found the solution to be very scalable."
"Document indexing, text-based search API, and Geospatial searches are all good features."
"It is remarkably efficient and beneficial."
"CDN service reduces latency when accessing our web application."
"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 quality of the solution is good."
"The best feature is its scalability in that Cloud is always on the fly."
"AWS CloudSearch's best features are good performance under high CPU and memory use, and ease of deployment and scaling."
"You have to build out the metadata yourself because of the nature of the cloud."
"I think it would be better if the product were more mature. It's still a young product compared to Power BI or Qlik. I find that development is a bit difficult, but it might be because I'm used to other tools. The dashboarding capabilities could be better. The reporting and statement generation could be better. I couldn't technically initiate picture-perfect reporting, for example, to send out statements every month for banking customers."
"One improvement I can suggest is that Athena needs to work better with third-parties. For example, the process of querying a Microsoft SQL warehouse could be improved."
"The solution should include a better API for query services."
"If you compare it with Palantir, if you have some data and you want to quickly have a look at it, then that feature is not available in Amazon Cloud."
"I would like to use Spark or Python-based queries in Athena."
"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."
"The price of the solution can be expensive."
"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."
"A reboot should be enhanced."
"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."
Amazon Athena is ranked 4th in Search as a Service with 6 reviews while Amazon AWS CloudSearch is ranked 5th in Search as a Service with 12 reviews. Amazon Athena is rated 7.6, while Amazon AWS CloudSearch is rated 8.4. The top reviewer of Amazon Athena writes "A great AWS application that is easy to set up and simple to expand". On the other hand, the top reviewer of Amazon AWS CloudSearch writes "A reasonably priced solution that provides scalability, stability, reliability, and security". Amazon Athena is most compared with Amazon Elasticsearch Service, Elastic Search, Azure Search and Solr, whereas Amazon AWS CloudSearch is most compared with Solr, Amazon Kendra, Algolia, Elastic Search and Azure Search. See our Amazon AWS CloudSearch vs. Amazon Athena 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.
