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Amazon Elasticsearch Service vs Elastic Search comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Amazon Elasticsearch Service
Ranking in Search as a Service
3rd
Average Rating
8.2
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Elastic Search
Ranking in Search as a Service
1st
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
67
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (9th), Vector Databases (2nd)
 

Mindshare comparison

As of April 2025, in the Search as a Service category, the mindshare of Amazon Elasticsearch Service is 8.6%, down from 18.1% compared to the previous year. The mindshare of Elastic Search is 14.4%, up from 8.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Search as a Service
 

Featured Reviews

Surjit Choudhury - PeerSpot reviewer
A solution beneficial for the streaming of data that needs to improve its configuration part
Not for all the projects I saw, but most of the projects were using Elasticsearch, which is very common. In my case, I have faced two scenarios with the solution. Other than that, generic solutions like SNS, SQS, and Lambda are some of the very generic tools we are using. Regarding what I would like to see improved in the solution, I would say that, basically, the configuration part is an area with a shortcoming. We have a DevOps person, so all these things are configured in the Terraform through the Terraform script we use. The DevOps team used to take care of it. To run the process or run the services and how to use the services are the parts for which we are using the solution. Some upgradation is required on the configuration side so that we can get to use it. In that case, I have to check on that area with the DevOps.
Anand_Kumar - PeerSpot reviewer
Captures data from all other sources and becomes a MOM aka monitoring of monitors
Scalability and ROI are the areas they have to improve. Their license terms are based on the number of cores. If you increase the number of cores, it becomes very difficult to manage at a large scale. For example, if I have a $3 million project, I won't sell it because if we're dealing with a 10 TB or 50 TB system, there are a lot of systems and applications to monitor, and I have to make an MOM (Mean of Max) for everything. This is because of the cost impact. Also, when you have horizontal scaling, it's like a multi-story building with only one elevator. You have to run around, and it's not efficient. Even the smallest task becomes difficult. That's the problem with horizontal scaling. They need to improve this because if they increase the cores and adjust the licensing accordingly, it would make more sense.

Quotes from Members

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

Pros

"In case there is a failure, Elastic manages everything well, and there no major downtime."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"Regarding valuable features of the solution, we found with the process, which we have used in both cases where we used the solution that while you're seeing the streaming of data, you can analyze in the initial phase what sort of data you are streaming and whether it is valuable."
"The most valuable features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful."
"The stability of the product is good."
"It's a good log management platform. In terms of infrastructure management, it's good."
"The initial set up is very easy...We really appreciate Amazon!"
"The most valuable feature of the solution is its utility and usefulness."
"The solution is valuable for log analytics."
"The UI is very nice, and performance wise it's quite good too."
"It gives us the possibility to store and query this data and also do this efficiently and securely and without delays."
"It is stable."
"The solution is quite scalable and this is one of its advantages."
"The tool's stability and performance are good."
"The solution offers good stability."
 

Cons

"The configuration should be more straightforward because we had to select a lot of things."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"One glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become problematic."
"I would say that, basically, the configuration part is an area with a shortcoming...Some upgradation is required on the configuration side so that we can get to use it."
"There is a problem with the database. Amazon only provides the hosting to run our applications bias, but there is no option to manage the database within the Elasticsearch product."
"Amazon Elasticsearch can improve the bullion in the near search and the ease of integration with Kibana. Additionally, there could be more flexibility in the configuration and documentation."
"Machine learning on search needs improvement."
"Technical support should be faster."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
"The solution has quite a steep learning curve. The usability and general user-friendliness could be improved. However, that is kind of typical with products that have a lot of flexibility, or a lot of capabilities. Sometimes having more choices makes things more complex. It makes it difficult to configure it, though. It's kind of a bitter pill that you have to swallow in the beginning and you really have to get through it."
"We'd like more user-friendly integrations."
"I would like to be able to do correlations between multiple indexes."
"The solution must provide AI integrations."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
 

Pricing and Cost Advice

"The solution is not expensive, but priced averagely, I will say."
"Compared to other cloud platforms, it is manageable and not very expensive."
"You only pay for what you use."
"There is a community edition available and the price of the commercial offering is reasonable."
"Although the ELK Elasticsearch software is open-source, we buy the hardware."
"To access all the features available you require both the open source license and the production license."
"​The pricing and license model are clear: node-based model."
"We are using the free version and intend to upgrade."
"The solution is free."
"It can move from $10,000 US Dollars per year to any price based on how powerful you need the searches to be and the capacity in terms of storage and process."
"We are using the free open-sourced version of this solution."
"We are using the open-sourced version."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
13%
Manufacturing Company
12%
Government
8%
Computer Software Company
17%
Financial Services Firm
15%
Government
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Amazon Elasticsearch Service?
It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs.
What is your experience regarding pricing and costs for Amazon Elasticsearch Service?
The solution is not expensive, but priced averagely, I will say. Regarding the pricing part based on the use cases, we used to sometimes see or do some of the costing parts also in that case. Depar...
What needs improvement with Amazon Elasticsearch Service?
One glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become...
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 don't know about pricing. That is dealt with by the sales team and our account team. I was not involved with that.
What needs improvement with ELK Elasticsearch?
I found an issue with Elasticsearch in terms of aggregation. They are good, yet the rules written for this are not really good. There is a maximum of 10,000 entries, so the limitation means that if...
 

Also Known As

No data available
Elastic Enterprise Search, Swiftype, Elastic Cloud
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
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 Elasticsearch Service vs. Elastic Search and other solutions. Updated: March 2025.
844,944 professionals have used our research since 2012.