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."You can perform SQL queries in S3 using Athena."
"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."
"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."
"Athena has a really good UI and is very compatible with on-prem products."
"The search speed is most valuable and important."
"The solution is quite scalable and this is one of its advantages."
"Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"The initial setup is very easy for small environments."
"Dashboard is very customizable."
"Search is really powerful."
"The most valuable features are the detection and correlation features."
"We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company."
"The solution should include a better API for query services."
"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."
"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."
"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."
"You have to build out the metadata yourself because of the nature of the cloud."
"Elastic Search needs to improve its technical support. It should be customer-friendly and have good support."
"Elasticsearch could improve by honoring Unix environmental variables and not relying only on those provided by Java (e.g. installing plugins over the Unix http proxy)."
"We have an issue with the volume of data that we can handle."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"I would like to be able to do correlations between multiple indexes."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"There is a lack of technical people to develop, implement and optimize equipment operation and web queries."
"It was not possible to use authentication three years back. You needed to buy the product's services for authentication."
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.