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Amazon OpenSearch Service vs Cribl comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 16, 2025

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 Application Performance Monitoring (APM) and Observability
26th
Ranking in Log Management
22nd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Search as a Service (3rd)
Cribl
Ranking in Application Performance Monitoring (APM) and Observability
9th
Ranking in Log Management
5th
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
31
Ranking in other categories
Security Information and Event Management (SIEM) (8th), Observability Pipeline Software (1st)
 

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.6%, up from 1.2% compared to the previous year. The mindshare of Cribl is 1.2%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Cribl1.2%
Amazon OpenSearch Service1.6%
Other97.2%
Application Performance Monitoring (APM) and Observability
 

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.
Aman Verma - PeerSpot reviewer
Senior Software Engineer at a retailer with 1,001-5,000 employees
Has helped reduce daily log volume significantly and streamline data routing across multiple destinations
Regarding complexity, as I mentioned before, Cribl is very simple to use. When I started 2.5 years ago, it was very easy to learn. I learned Cribl within a week, and even though I was a fresher at the time, it was easy to understand and not complex enough that someone would need to spend money on labs. It's not that complex to learn. Regarding cost efficiency, it's very good because nowadays the SIEM tools we use are too expensive on license, and SIEM tools base their license on how many logs get ingested. The unwanted logs, particularly firewall logs, represent a significant portion of unnecessary ingestion. Cribl saves our license by filtering out half of the firewall logs that are unwanted. Our main purpose for using Cribl is to save our license and save money. Currently, everyone is moving toward AI agents. We currently use regex, and AI agents could help us create those regex patterns to drop events or add raw data to events. Currently, we sit down, review the logs, and create regex patterns manually, which can be time-consuming. An AI agent could reduce this time. I read some articles indicating that Cribl Cloud has started using AI and considering MCPs and model context, but I'm not certain how far along they are. If Cribl asked me what they could improve, that would be my suggestion. The support is very good, and I had a few issues with Cribl where I raised support cases and received good responses, which is better than the quick response I didn't get from other SIEM tools and vendor tools I use. Compared to other SIEM tools, Cribl is cheaper than Splunk and DataDogs. However, it's still a bit expensive from my point of view, though I won't call it expensive. Overall, I think 99% of companies use Cribl before their SIEM tools, and compared to SIEM tools, Cribl is cheaper. Companies can use any SIEM tool such as Google, Splunk, or Cisco, and Cribl is cheaper than those SIEM tools. They might have a slight chance to reduce costs further, but I'm not the correct person to evaluate that since I'm more focused on the operational side. Regarding training, it was quite easy to grasp. It took me almost a week to understand the basic functionalities and what Cribl does. Getting more expertise took additional time, but basic functionalities and understanding what Cribl does took around four to five days. One point I want to mention is that Cribl could improve their labs or training materials in their Cribl Cloud or whatever portal they have.

Quotes from Members

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

Pros

"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."
"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"
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"It's a good log management platform. In terms of infrastructure management, it's good."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"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."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"The customer service is excellent, rated nine out of ten."
"When we had Cribl in place, it provided a vision and a platform for us to control what we send and how we send it in terms of data passing, data enrichment, and many more things, with massaging the data."
"Mostly because of the positive reasons, I would say it is easy to use, it is sustainable, the support is nice, the coding is quite easy to understand, there are a lot of functionalities there, you can do a lot of things, and the data migration is very easy."
"What I appreciate the most about Cribl is the free training, the free access to all the training, and how easy it is to learn it."
"Cribl has been instrumental in containing our data costs, especially as we use leading log aggregation and SIEM tools known for their heavy licensing costs by ingest."
"The feature I appreciate most about Cribl is that it is really easy to use and quick to replicate data models on different data sets."
"When it comes to the product's installation phase, it is not tough for people who have good knowledge...The tool is worth the investment."
"Enhancing those events to optimize, to add new fields or to remove the extra fields that are of no use helps us in log reduction by dumping the raw logs and only ingesting the interested fields, which helps us in 50 to 60% volume reduction."
"There are no complaints, but it has been a very good experience using Cribl."
 

Cons

"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."
"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."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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."
"One improvement I would like to see is support for auto-scaling."
"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."
"As a user, lower prices or reasonable pricing is always better."
"Cribl should consider adding more features that are applicable to smaller firms, allowing broader access to their data migration through Cribl."
"Improvement could be made in the logging area, as sometimes we encounter issues in a pipeline or something, and it's not immediately obvious when you look at the logs that the pipeline is failing."
"Cribl could be improved by some UI tweaks and some usability tweaks, mostly centered around error troubleshooting for large volumes of Edge nodes."
"Improvement could be made in the logging area, as sometimes we encounter issues in a pipeline or something, and it's not immediately obvious when you look at the logs that the pipeline is failing."
"Cribl can improve by providing automated analytics and advanced parsing capabilities since it handles data at its core."
"There is room for improvement in the documentation and knowledge base, particularly regarding configurations like sources where logs are being ingested"
"Currently, Cribl Search is dedicated to one bucket at a time in the case of S3 buckets. The ability to search for multiple buckets would be awesome."
"There are opportunities for AI to be incorporated more tightly into Cribl to help build out those pipelines and apply some more complex logic to those transformations could be useful."
 

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."
"The product pricing is reasonable compared to other solutions."
"I would not say it is a cheaply priced tool as it has been doing wonders in the market. The tool has been budget-friendly for organizations."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
11%
Manufacturing Company
10%
Government
7%
Financial Services Firm
20%
Manufacturing Company
12%
Healthcare Company
6%
Computer Software Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise2
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise18
 

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?
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 t...
What is your experience regarding pricing and costs for Cribl?
I'm not sure of Cribl pricing because it has been procured as a package by our client, and we are not exposed to or do not have an idea of how much they have spent to get a license from Cribl. But ...
What needs improvement with Cribl?
I am not in a position to comment on how Cribl could be improved or enhanced because it is a good tool, and I have only used a small part of the entire Cribl product. As of now I am pretty happy wi...
What is your primary use case for Cribl?
My usual use cases for Cribl involve collecting logs from many endpoints, including user activities. We collect logs into either Log Analytical Workspace or Event Hub and redirect to Cribl so that ...
 

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. Cribl and other solutions. Updated: January 2026.
881,082 professionals have used our research since 2012.