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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
Reviews Sentiment
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
Reviews Sentiment
7.2
Number of Reviews
65
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
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
Provides us with the capability to execute multiple queries according to our requirements
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 analytics with Elastic benefits us due to the huge traffic volume in our organization, which reaches up to 60,000 requests per second. With logs of approximately 25 GB per day, manually analyzing traffic behavior, payloads, headers, user agents, and other details is impractical.

Quotes from Members

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

Pros

"It's easy to set up the product."
"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."
"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."
"Search is really powerful."
"I am impressed with the product's Logstash. The tool is fast and customizable. You can build beautiful dashboards with it. It is useful and reliable."
"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 products comes with REST APIs."
"A nonstructured database that can manage large amounts of nonstructured data."
"It's a stable solution and we have not had any issues."
"Dashboard is very customizable."
"It is a stable and good platform."
 

Cons

"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."
"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."
"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."
"There are challenges with performance management and scalability."
"The one area that can use improvement is the automapping of fields."
"We'd like to see more integration in the future, especially around service desks or other ITSM tools."
"We'd like more user-friendly integrations."
"Kibana should be more friendly, especially when building dashboards."
"The different applications need to be individually deployed."
"Elasticsearch could be improved in terms of scalability."
"The metadata gets stored along with indexes and isn't queryable."
 

Pricing and Cost Advice

"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."
"I am happy with what they are charging and how they charge it, especially because they charge you per query, and not per series."
"Athena is very inexpensive for being a cloud tool."
"We are using the free version and intend to upgrade."
"The cost varies based on factors like usage volume, network load, data storage size, and service utilization. If your usage isn't too extensive, the cost will be lower."
"The tool is an open-source product."
"The solution is affordable."
"Elastic Search is open-source, but you need to pay for support, which is expensive."
"There is a free version, and there is also a hosted version for which you have to pay. We're currently using the free version. If things go well, we might go for the paid version."
"To access all the features available you require both the open source license and the production license."
"The price of Elastic Enterprise is very, very competitive."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
11%
Government
9%
Computer Software Company
18%
Financial Services Firm
15%
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 am not directly involved with pricing or setup costs. While I know a portion is open-source, a paid version might be necessary.
What needs improvement with ELK Elasticsearch?
An improvement would be to have an interface that allows easier navigation and tracing of logs. The current system requires manually inputting dates to verify alerts. A visual timeline that pinpoin...
 

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.
816,406 professionals have used our research since 2012.