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."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."
"Amazon Athena is very stable. I never had any issues with it. The dashboarding tool is okay."
"Athena has a really good UI and is very compatible with on-prem products."
"It's easy to set up the product."
"It helps us to analyse the logs based on the location, user, and other log parameters."
"The most valuable feature of Elastic Enterprise Search is user behavior analysis."
"I like how it allows us to connect to Kafka and get this data in a document format very easily. Elasticsearch is very fast when you do text-based searches of documents. That area is very good, and the search is very good."
"The initial setup is very easy for small environments."
"The initial installation and setup were straightforward."
"It's a stable solution and we have not had any issues."
"The most valuable features of Elastic Enterprise Search are it's cloud-ready and we do a lot of infrastructure as code. By using ELK, we're able to deploy the solution as part of our ISC deployment."
"The most valuable feature of Elastic Enterprise Search is the Discovery option for the visualization of logs on a GPU instead of on the server."
"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."
"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."
"The solution should include a better API for query services."
"It is hard to learn and understand because it is a very big platform. This is the main reason why we still have nothing in production. We have to learn some things before we get there."
"The metadata gets stored along with indexes and isn't queryable."
"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."
"The UI point of view is not very powerful because it is dependent on Kibana."
"Improving machine learning capabilities would be beneficial."
"There are some features lacking in ELK Elasticsearch."
"Machine learning on search needs improvement."
"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."
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, Azure Search and Solr, whereas Elastic Search is most compared with Milvus, Faiss, Azure Search, Amazon Kendra and Pinecone. See our Amazon Athena vs. Elastic Search report.
See our list of best Search as a Service vendors.
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