We performed a comparison between Amazon Athena 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."It's easy to set up the product."
"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."
"Athena has a really good UI and is very compatible with on-prem products."
"The solution is very easy to use and integrations are very smooth."
"Amazon Athena is very stable. I never had any issues with it. The dashboarding tool is okay."
"You can perform SQL queries in S3 using Athena."
"A nonstructured database that can manage large amounts of nonstructured data."
"The tool's stability and performance are good."
"Data indexing of historical data is the most beneficial feature of the product."
"The solution offers good stability."
"I have found the sort capability of Elastic very useful for allowing us to find the information we need very quickly."
"The initial setup is very easy for small environments."
"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."
"The solution is quite scalable and this is one of its advantages."
"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 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."
"I would like to use Spark or Python-based queries in Athena."
"You have to build out the metadata yourself because of the nature of the cloud."
"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."
"We have an issue with the volume of data that we can handle."
"The solution must provide AI integrations."
"We'd like to see more integration in the future, especially around service desks or other ITSM tools."
"They could improve some of the platform's infrastructure management capabilities."
"Better dashboards or a better configuration system would be very good."
"We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff."
"Elastic Search needs to improve its technical support. It should be customer-friendly and have good support."
"The UI point of view is not very powerful because it is dependent on Kibana."
Amazon Athena is ranked 4th in Search as a Service with 6 reviews while Elastic Search is ranked 1st in Search as a Service with 59 reviews. Amazon Athena is rated 7.6, while Elastic Search is rated 8.2. 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 Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". Amazon Athena is most compared with Amazon Elasticsearch Service, Amazon AWS CloudSearch and Azure Search, whereas Elastic Search is most compared with Faiss, Milvus, Pinecone, Azure Search and Splunk User Behavior Analytics. See our Amazon Athena 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.