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Amazon Athena vs Elastic Search comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Amazon Athena
Ranking in Search as a Service
4th
Average Rating
7.2
Number of Reviews
5
Ranking in other categories
No ranking in other categories
Elastic Search
Ranking in Search as a Service
1st
Average Rating
8.2
Number of Reviews
64
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (11th), Vector Databases (1st)
 

Mindshare comparison

As of November 2024, in the Search as a Service category, the mindshare of Amazon Athena is 13.6%, down from 13.8% compared to the previous year. The mindshare of Elastic Search is 12.2%, up from 7.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Search as a Service
 

Featured Reviews

Manilal Kasera - PeerSpot reviewer
Nov 22, 2022
A great AWS application that is easy to set up and simple to expand
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. We'd like it better if, for example, when you have some data, you can easily query it and you can easily read it at a glance. We'd like it to just be almost like a drag-and-drop situation. In Amazon Cloud, you actually have first to upload the data into S3. For that, you have to create a bucket. Now you have to create a Glue service, which will get you the schema. Then that schema would create basically a database and a table. After that, you have to go to Athena to query the data. It's a three-step process in Amazon Cloud. In Palantir, you just have to drag and drop.
Saurav Kumar - PeerSpot reviewer
Mar 15, 2024
Provides us with the capability to execute multiple queries according to our requirements
I can describe a project where we use Elasticsearch, Logstash, and Kibana (ELK stack) for our archiving objectives. I work in the security department of a Fintech company in the payment industry. We use the ELK stack to connect our internal systems with the bank's systems and we used Beats for data…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Amazon Athena is very stable. I never had any issues with it. The dashboarding tool is okay."
"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."
"It's easy to set up the product."
"Athena has a really good UI and is very compatible with on-prem products."
"Helps us to store the data in key value pairs and, based on that, we can produce visualisations in Kibana."
"I really like the visualization that you can do within it. That's really handy. Product-wise, it is a very good and stable product."
"ELK Elasticsearch is 100% scalable as scalability is built into the design"
"The products comes with REST APIs."
"It's a stable solution and we have not had any issues."
"Implementing the main requirements regarding my support portal​."
"The most valuable feature is the out of the box Kibana."
"Search is really powerful."
 

Cons

"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."
"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."
"You have to build out the metadata yourself because of the nature of the cloud."
"The solution should include a better API for query services."
"There are potential improvements based on our client feedback, like unifying the licensing cost structure."
"Elastic Search should provide better guides for developers."
"New Relic could be more flexible, similar to Elasticsearch."
"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."
"There are a lot of manual steps on the operating system. It could be simplified in the user interface."
"The reports could improve."
"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)."
"Enterprise scaling of what have been essentially separate, free open source software (FOSS) products has been a challenge, but the folks at Elastic have published new add-ons (X-Pack and ECE) to help large companies grow ELK to required scales."
 

Pricing and Cost Advice

"I am happy with what they are charging and how they charge it, especially because they charge you per query, and not per series."
"The solution operates on a serverless model so you only pay for data that you consume."
"It doesn't cost much if you are already part of the AWS ecosystem."
"Athena is very inexpensive for being a cloud tool."
"We are using the open-sourced version."
"​The pricing and license model are clear: node-based model."
"This product is open-source and can be used free of charge."
"The basic license is free, but it comes with a lot of features that aren't free. With a gold license, we get active directory integration. With a platinum license, we get alerting."
"We are using the free version and intend to upgrade."
"The pricing structure depends on the scalability steps."
"we are using a licensed version of the product."
"The version of Elastic Enterprise Search I am using is open source which is free. The pricing model should improve for the enterprise version because it is very expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
11%
Government
8%
Computer Software Company
18%
Financial Services Firm
16%
Manufacturing Company
9%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Amazon Athena?
Athena has a really good UI and is very compatible with on-prem products.
What needs improvement with Amazon Athena?
You have to build out the metadata yourself because of the nature of the cloud.
What do you like most about ELK Elasticsearch?
Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time anal...
What is your experience regarding pricing and costs for ELK Elasticsearch?
I would rate the pricing a seven out of ten, with one being high price and ten being low price. It could be cheaper for certain use cases, but since it gets the job done, no complaints for the pric...
What needs improvement with ELK Elasticsearch?
Elastic Search needs better guides for developers. Better guides for development.
 

Also Known As

No data available
Elastic Enterprise Search, Swiftype, Elastic Cloud
 

Overview

 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
Find out what your peers are saying about Amazon Athena vs. Elastic Search and other solutions. Updated: October 2024.
814,763 professionals have used our research since 2012.