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Amazon OpenSearch Service vs Cribl 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 Application Performance Monitoring (APM) and Observability
21st
Ranking in Log Management
17th
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
6th
Ranking in Log Management
3rd
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
65
Ranking in other categories
Security Information and Event Management (SIEM) (5th), Observability Pipeline Software (1st)
 

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 0.9%, down from 2.1% compared to the previous year. The mindshare of Cribl is 1.2%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Cribl1.2%
Amazon OpenSearch Service0.9%
Other97.9%
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.
JigarHirani - PeerSpot reviewer
Splunk Engineer at a recruiting/HR firm with 11-50 employees
Log pipelines have reduced daily data volume and now simplify traffic analysis
Overall, the pipelines and all the features are good with Cribl. The UI is good. Just sometimes, when I actually started using Cribl, I faced the issue where I was not able to connect the nodes. The pipeline is structured in a certain way, then the data will be routed to there, and something of that nature. I was very much confused about their whole products, such as Data Lake and pipelines. It's possible that at that time I didn't take any university courses, which is why I did not know much. But if they can give an intro on how we can connect nodes, or they can provide simple use cases showing what you can do with Cribl, it would help. If you just need to add the source and the destination and pre-build some proper workflow, then it will be easy for new customers to navigate through Cribl.

Quotes from Members

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

Pros

"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"The customer service is excellent, rated nine out of ten."
"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."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"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."
"The solution saves a significant amount of time and resources, and I would estimate the return on investment to be double or triple the investment we made."
"I think it is cost-efficient because overall, after using Cribl, it helps users save cost and time."
"Cribl is excellent for scalability, as it is good overall for pipeline maintaining, horizontal scaling, distributed architecture, parallel pipelines, and load balancing."
"We save about 75% percent of our costs by processing network and firewall logs through Cribl."
"Cribl's interface is user-friendly and easy to learn, making it simple to teach new users how to use it."
"What I like most about Cribl is the overall pipeline structure and easiness."
"The capability to reduce logs in a user-friendly manner is a standout feature. Cribl allows us to view logs live as they are being processed, giving us quick feedback on the changes made."
"Because of Cribl, we have experienced very high impact in cost efficiency, data clarity, and data optimization."
 

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 improvement I would like to see is support for auto-scaling."
"As a user, lower prices or reasonable pricing is always better."
"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"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."
"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 want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"They can enhance data visualization."
"There is room for improvement in the documentation and knowledge base, particularly regarding configurations like sources where logs are being ingested"
"Cribl is a very costly product. People nowadays have started considering alternative solutions."
"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."
"There have been several administrative issues. Another point is that the browsing functions aren't very intuitive."
"What I dislike about Cribl is that it represents my direct pain point."
"In Cribl Search, the language and the flexibility in querying the data can be improved because it is not as good as other solutions."
"Data cost is a concern, as Cribl charges for everything it sees rather than everything it processes."
"If you're a customer who has no idea how to use Cribl and just buy it hoping to solve your problems, it doesn't work that way."
 

Pricing and Cost Advice

"You only pay for what you use."
"The solution is not expensive, but priced averagely, I will say."
"There is a community edition available and the price of the commercial offering is reasonable."
"Compared to other cloud platforms, it is manageable and not very expensive."
"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
16%
Manufacturing Company
10%
Computer Software Company
9%
Government
6%
Financial Services Firm
19%
Manufacturing Company
12%
Healthcare Company
6%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise4
By reviewers
Company SizeCount
Small Business50
Midsize Enterprise8
Large Enterprise35
 

Questions from the Community

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 is your primary use case for Amazon OpenSearch Service?
Amazon OpenSearch Service is a user-friendly version of Elasticsearch, as per my understanding. I have been using it for our volunteer management system where around 5,000 to 6,000 users are using ...
What is your experience regarding pricing and costs for Cribl?
I find the pricing of Cribl to be cost-efficient because it has helped us save costs for data storage by removing unwanted logs.
What needs improvement with Cribl?
One improvement Cribl could work on is Cribl's Git integration. If I want to integrate my private repository, I can do this, but there is a specific format required in Git. If I commit something to...
What is your primary use case for Cribl?
We started using Cribl one year ago for data optimization. Currently, we are using Cribl for its one terabyte ingestion that is free, which is one significant advantage. We are using it for that pu...
 

Comparisons

 

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: August 2026.
908,834 professionals have used our research since 2012.