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."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."
"You can perform SQL queries in S3 using Athena."
"Athena has a really good UI and is very compatible with on-prem products."
"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 quite scalable and this is one of its advantages."
"The solution offers good stability."
"Helps us to store the data in key value pairs and, based on that, we can produce visualisations in Kibana."
"The most valuable feature is the out of the box Kibana."
"The forced merge and forced resonate features reduce the data size increasing reliability."
"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 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 initial setup is very easy for small environments."
"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."
"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."
"The solution should include a better API for query services."
"Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard."
"They should improve its documentation. Their official documentation is not very informative. They can also improve their technical support. They don't help you much with the customized stuff. They also need to add more visuals. Currently, they have line charts, bar charts, and things like that, and they can add more types of visuals. They should also improve the alerts. They are not very simple to use and are a bit complex. They could add more options to the alerting system."
"Could have more open source tools and testing."
"This product could be improved with additional security, and the addition of support for machine learning devices."
"While integrating with tools like agents for ingesting data from sources like firewalls is valuable, I believe prioritizing improvements to the core product would be more beneficial."
"Elastic Enterprise Search could improve the report templates."
"Better dashboards or a better configuration system would be very good."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
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.