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."
"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."
"The solution is very easy to use and integrations are very smooth."
"You can perform SQL queries in S3 using Athena."
"Athena has a really good UI and is very compatible with on-prem products."
"It's easy to set up the product."
"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 initial setup is straightforward."
"It is remarkably efficient and beneficial."
"The best feature is its scalability in that Cloud is always on the fly."
"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."
"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."
"I would like to use Spark or Python-based queries in Athena."
"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."
"You have to build out the metadata yourself because of the nature of the cloud."
"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."
"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."
"We'd like to see more database features."
"The solution should improve the recovery aspects that it has on offer."
"Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection."
"Maybe they are common in Egypt, but you should make a request on Amazon to create a function to monitor CPU performance, memory, and files. It is very difficult in AWS. I would tell them it should be simple, just drag and drop. I think they could develop this option so we can drag and drop to monitor performance of the processor and memory."
"A reboot should be enhanced."
"I do not have any suggestions for improvements at this time."
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 and Azure Search, 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.