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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

"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"The initial set up is very easy...We really appreciate Amazon!"
"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."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"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."
"It's a good log management platform. In terms of infrastructure management, it's good."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"The stability of the product is good."
"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 product is scalable with good performance."
"The initial installation and setup were straightforward."
"You have dashboards, it is visual, there are maps, you can create canvases. It's more visual than anything that I've ever used."
"The AI-based attribute tagging is a valuable feature."
"A nonstructured database that can manage large amounts of nonstructured data."
"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."
"It is highly valuable because of its simplicity in maintenance, where most tasks are handled for you, and it offers a plethora of built-in features."
 

Cons

"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."
"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."
"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."
"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."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"The configuration should be more straightforward because we had to select a lot of things."
"Could have more open source tools and testing."
"The UI point of view is not very powerful because it is dependent on Kibana."
"Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities."
"The solution must provide AI integrations."
"Elastic Enterprise Search can improve by adding some kind of search that can be used out of the box without too much struggle with configuration. With every kind of search engine, there is some kind of special function that you need to do. A simple out-of-the-box search would be useful."
"The one area that can use improvement is the automapping of fields."
"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."
"An improvement would be to have an interface that allows easier navigation and tracing of logs."
 

Pricing and Cost Advice

"You only pay for what you use."
"The solution is not expensive, but priced averagely, I will say."
"Compared to other cloud platforms, it is manageable and not very expensive."
"There is a community edition available and the price of the commercial offering is reasonable."
"I rate Elastic Search's pricing an eight out of ten."
"​The pricing and license model are clear: node-based model."
"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."
"We are using the free version and intend to upgrade."
"we are using a licensed version of the product."
"The price of Elastic Enterprise is very, very competitive."
"The price could be better."
"We are using the Community Edition because Elasticsearch's licensing model is not flexible or suitable for us. They ask for an annual subscription. We also got the development consultancy from Elasticsearch for 60 days or something like that, but they were just trying to do the same trick. That's why we didn't purchase it. We are just using the Community Edition."
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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.
845,040 professionals have used our research since 2012.