Try our new research platform with insights from 80,000+ expert users

Amazon OpenSearch Service vs Elastic Stack comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 2026

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 OpenSearch Service
Ranking in Log Management
19th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Application Performance Monitoring (APM) and Observability (23rd), Search as a Service (3rd)
Elastic Stack
Ranking in Log Management
14th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
18
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.1%, up from 2.0% compared to the previous year. The mindshare of Elastic Stack is 3.3%, down from 4.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Elastic Stack3.3%
Amazon OpenSearch Service2.1%
Other94.6%
Log Management
 

Featured Reviews

Md. Shahariar Hossen - PeerSpot reviewer
Senior Software Engineer at Cefalo
Event tracking has become smoother and data analytics provide clear insights for user actions
Amazon OpenSearch Service is not providing the processing feature directly. From Amazon OpenSearch Service, we are actually maintaining the AWS SQS, the queue service, which is responsible for providing information about what data has to be modified. So using that SQS, we're actually providing it, but we're not directly using Amazon OpenSearch Service for keeping data to other data pipeline thing. So far we didn't use it for any machine learning purposes, but in future, we have plans to extend or implement this feature. Since AWS itself is secure and Amazon OpenSearch Service is a part of this entire ecosystem, it becomes much easier for security purposes. From the validation point of view, Amazon OpenSearch Service itself provides easy to communicate APIs and up-to-date documents, which is much beneficial. For example, if I'm missing anything, I can directly go and check the documentation. That is actually much easier. I would rate it as really good so far. It's much faster. For our local machine, we can also use a kind of replica of Amazon OpenSearch Service just for development purposes. That is another good feature. I would say for the encryption thing and also the user access control management, it's much faster. For some of these hashing algorithms, it also worked really well so far. To be honest, I didn't find any places where it can be improved. However, I think they could provide more abstraction. For example, still for searching, we have to write down the queries in a specific manner, such as for a specific JSON structure or in a specific way. Otherwise, they don't provide us the actual results. For at least this purpose, I think abstraction could be a bit easier or a bit improved. Other than that, right now there is the age of AI, so some kind of prompting could also work, but I'm not sure how it could be integrated. As a user, lower prices or reasonable pricing is always better. Those can be improved as well. However, it is good that most of the services including Amazon OpenSearch Service actually provide pay as you go pricing. So if there were a bit lower version or a bit less payment methodology, it might be much better.
LB
Senior Consultant at Skillfield
Offers robust out-of-the-box integrations and streamlines logging processes effortlessly
There are improvements needed for Elastic Stack. It is mostly based on Lucene, and the heart of Elastic Stack is Lucene, which has some limitations. Anything built on top of Lucene often feels an add-on, and that includes vector databases. Elastic Stack can store vector embeddings as well and perform AI and machine learning tasks out of the box without excessive configuration. The main improvements involve increasing speed and compression capabilities; I have seen databases that claim to achieve significantly better compression. While Elastic Stack can manage vast amounts of data, if the mapping is not specified correctly, the indexing time can be slow, especially with many events per second. Improper mapping usually means that every document received gets indexed for all fields, which is not desired. Elastic consultants typically optimize this, but out of the box, as data volume increases, scaling becomes necessary. They are working on these improvements in new versions.

Quotes from Members

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

Pros

"We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage"
"Our customers have seen tangible benefits from Amazon OpenSearch Service, especially in terms of their applications running smoothly, so they do get a return on investment."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"The initial set up is very easy...We really appreciate Amazon!"
"The stability of the product is good."
"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."
"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"I think the ecosystem is well supported, and for logs, it was faster compared to our previous previous log management."
"The scripting model in Elastic Stack allows me to query logs and then put the data into Grafana."
"We can group a lot of alarms into one automation alarm supervision. The alarm supervision allows us to put the alarm under the same. It's quite helpful for us. We used that to suppress our alarms. Elastic already provides the agent. It is easy to integrate Elastic Stack with other devices and vendors."
"It is an excellent tool for monitoring purposes."
"It supports various integrations. It's open source and has excellent community support."
"Prior to the latest updates, data lake management was a standout feature. The hybrid capability for on-premise and cloud integration was also crucial. Now, with Elastic Defense, the agent simplifies security monitoring, making it a key asset."
"The tool's most powerful aspect is its search engine capability. It's a highly effective and powerful solution for searching. We use it in professional and student projects at universities, and it delivers promising results."
"The tool is huge, and it performs brilliantly. I tested it for malware, and within two weeks of launching, the product alerted me about a network intrusion. This was a tough test for it, but it performed admirably. The alerting system is excellent, and searching through logs is incredibly efficient. What's impressive is that all three products or options are integrated into one solution. This means I don't need separate logging, monitoring, or antivirus solutions."
 

Cons

"They can enhance data visualization."
"We faced documentation challenges during integration after migrating from Elasticsearch to Amazon OpenSearch Service. Better documentation on integration, query handling, and a more user-friendly UI could enhance the product."
"One improvement I would like to see is support for auto-scaling."
"It would be beneficial to have some level of customization available in the managed service, tailored to the specific use cases of the end users."
"In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle the data."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"One improvement I would like to see is support for auto-scaling."
"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"Elastic Stack should be more simplified with ready-to-use widgets. Also, incorporating AI capabilities is essential as monitoring and observability tools are now adding AI features."
"It should facilitate easier manual integration."
"Improving integration capabilities, especially with authentication systems, firewalls, and security controls, is a crucial area for improvement in Elastic Stack. Additionally, enhancing functionality to handle large Yara queries more efficiently would be beneficial, as many EDR solutions can run such queries faster than Elastic Stack's current limitations."
"Improvements are needed in the solution in areas like SOAR and TIP, where there are certain shortcomings."
"AI-enablement would be a big improvement in Elastic Stack...If there is room for an ML model in Elastic Stack, then it would be good."
"The main issue related to Elastic Stack is in the area of its licensing."
"I would rate the technical support by Elastic as five or six out of ten. They should improve their response time and first-level support, particularly knowledge, which is very important for using Elasticsearch."
"When people try to move the data from another source to Elastic Stack for visualization, they face challenges when connecting to Elastic Stack from such different sources."
 

Pricing and Cost Advice

"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."
"You only pay for what you use."
"The solution is not expensive, but priced averagely, I will say."
"Ultimately, the pricing depends upon the capacity planning that the enterprise architect does."
"I used the open-source version of Elastic Stack, because of which I did not have to pay anything."
"It depends on the specifics, but generally, Elastic is economical for certain use cases."
"We are using the open-source community version of the product."
"I rate the solution's pricing a six out of ten."
"If I compare Elastic Stack to the other products in the market, I would say that the tool is available at a competitive price."
"The pricing is reasonable."
"The product is expensive."
report
Use our free recommendation engine to learn which Log Management solutions are best for your needs.
884,873 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
10%
Computer Software Company
10%
Government
7%
Computer Software Company
11%
Financial Services Firm
9%
Government
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise3
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise3
Large Enterprise6
 

Questions from the Community

What do you like most about Amazon OpenSearch Service?
We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage
What is your experience regarding pricing and costs for Amazon OpenSearch Service?
I would consider the pricing as a six based on how much data we are handling; if we handle minimal data, it's cheap, but for large data, it becomes costly. Our clients usually pay between $1,000 to...
What needs improvement with Amazon OpenSearch Service?
Amazon OpenSearch Service is not providing the processing feature directly. From Amazon OpenSearch Service, we are actually maintaining the AWS SQS, the queue service, which is responsible for prov...
What do you like most about Elastic Stack?
The tool is huge, and it performs brilliantly. I tested it for malware, and within two weeks of launching, the product alerted me about a network intrusion. This was a tough test for it, but it per...
What is your experience regarding pricing and costs for Elastic Stack?
My experience with Elastic Stack pricing indicates that it is node-based. While I do not have complete pricing details, they are available online. If I choose Elastic Cloud, it includes licensing a...
What needs improvement with Elastic Stack?
I would like to improve Elastic Stack by addressing the current big problem we face with importing logs and log files, such as syslogs. To import these log files, we need to design the ingest pipel...
 

Also Known As

Amazon Elasticsearch Service
No data available
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Information Not Available
Find out what your peers are saying about Amazon OpenSearch Service vs. Elastic Stack and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.