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Amazon OpenSearch Service vs Logstash 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 (25th), Search as a Service (3rd)
Logstash
Ranking in Log Management
31st
Average Rating
9.0
Reviews Sentiment
5.6
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 1.8%, down from 2.3% compared to the previous year. The mindshare of Logstash is 0.9%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Amazon OpenSearch Service1.8%
Logstash0.9%
Other97.3%
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.
reviewer2727468 - PeerSpot reviewer
Senior Application Engineer at a comms service provider with 11-50 employees
Transforms logs for real-time insights and seamless reporting
Logstash is used for transforming logs, and you can use many plugins in Logstash. Logstash works with configuration files that contain three main parts: an input part, a filter part, and an output part. In the input part, we can take logs from many sources such as Beats, files, or Kafka. The filter part is used to filter the logs that are shipped from Beats. From my understanding and experience with Logstash, it is usually used for processing logic, meaning I can control what fields should be transferred to Elastic and what fields shouldn't be transferred. This is the main function I use Logstash for. Elastic is a famous open-source searching engine that helps operation teams speed up the investigation process and provides real-time insights for performance reporting.

Quotes from Members

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

Pros

"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 has enhanced our organization's ability to store and search large amounts of data efficiently."
"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"
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"The business analytics capabilities are the most important feature it provides."
"They have the good documentation in the help text and that is the reason the Amazon Elasticsearch is the perfect solution for the current market."
"It's a good log management platform. In terms of infrastructure management, it's good."
"We have three or four Logstash servers for high availability."
"Logstash has numerous plugins for inputs and outputs, allowing it to work well in environments that do not contain other Elastic components."
"The functionality of Logstash is quite easy to implement and the plugin ecosystem of Logstash is great, with plugins for shell script monitoring and SQL monitoring working well with the tool."
"The transformation means we ship the logs in the way that we want them to be presented in Kibana, which is the main function we use Logstash for."
"I can collect logs from various data sources, including hardware."
"Everything aligns well with improving our organization."
 

Cons

"The pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing."
"The configuration should be more straightforward because we had to select a lot of things."
"As a user, lower prices or reasonable pricing is always better."
"One improvement I would like to see is support for auto-scaling."
"The configuration should be more straightforward because we had to select a lot of things."
"They can enhance data visualization."
"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."
"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."
"Elastic does not provide proper support for Logstash worldwide, and I rate their technical support as one out of ten."
"The product needs to improve its compatibility."
"An enhancement we could implement is the ability to cluster Logstash to exist in more than one node."
"Almost all the research can be very bad. We still have a problem with importing the log system."
"There can be a UI to implement with Logstash. Currently, I have to work with config files and everything."
"We still have a problem with importing the log system."
 

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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
10%
Government
7%
Financial Services Firm
17%
Computer Software Company
8%
Comms Service Provider
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise3
No data available
 

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 needs improvement with Logstash?
Customization can be automated with Logstash, but it is at the developer's disposal. The developer has to do it, not the tool as such. There is scope for optimization, but that is all outside the t...
What is your primary use case for Logstash?
The purposes for which I am using Logstash largely include log aggregation and application monitoring.
What advice do you have for others considering Logstash?
I am using Logstash for log management and also implement it. Logstash can be deployed both on-cloud and on-premises. On a scale of 1-10, I rate Logstash an 8.
 

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. Logstash and other solutions. Updated: April 2026.
886,719 professionals have used our research since 2012.