Amazon OpenSearch Service vs Cribl comparison

Amazon OpenSearch Service

Read 31 Cribl reviews

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96% willing to recommend

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Executive SummaryUpdated on Nov 16, 2025

Cribl and Amazon OpenSearch Service operate in the data management space. Cribl seems to have the upper hand in real-time data processing and flexibility, whereas Amazon OpenSearch Service stands out in data visibility and analytical depth.

Features: Cribl offers real-time data transformation, seamless SIEM integration, and effective log reduction through solutions like Cribl Stream and LogStream. Amazon OpenSearch Service provides robust search capabilities, integrated dashboards, and support for large-scale data analysis, making it suitable for comprehensive data retrieval and analysis.

Room for Improvement: Cribl could enhance its legacy system integration, debugging capabilities, and historical data handling beyond a week. Amazon OpenSearch Service could improve its service customization, pricing structure, and auto-scaling capabilities.

Ease of Deployment and Customer Service: Cribl is deployable across on-premises, hybrid, and cloud environments, with user feedback praising its responsive customer service and technical support. Amazon OpenSearch Service is noted for its cloud deployment, though users find its managed service limiting in terms of control. Improvement in service responsiveness could enhance its user satisfaction.

Pricing and ROI: Cribl is perceived as cost-effective, particularly in log management, offering substantial ROI through data savings. Conversely, some users find Amazon OpenSearch Service expensive despite appreciating its managed service and resource savings. Cost-effective pricing could enhance its appeal further.

To learn more, read our detailed Amazon OpenSearch Service vs. Cribl Report (Updated: January 2026).

Amazon OpenSearch Service vs. Cribl

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Helped 881,082 peers since 2012

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

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

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
Product	Market Share (%)
Cribl	1.2%
Amazon OpenSearch Service	1.6%
Other	97.2%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Md. Shahariar Hossen

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.

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Aman Verma

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.

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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."

More Amazon OpenSearch Service pros

"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."

More Cribl pros

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."

"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."

More Amazon OpenSearch Service cons

"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."

More Cribl cons

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

Financial Services Firm

20%

Manufacturing Company

12%

Healthcare Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	2

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	18

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 ...

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Product Reports

Amazon OpenSearch Service

Download Amazon OpenSearch Service product report

Download Cribl product report

Also Known As

Amazon Elasticsearch Service

No data available

Overview

Amazon OpenSearch Service provides scalable and reliable search capabilities with efficient data processing, supporting easy domain configuration and integration with numerous systems for enhanced performance.

Amazon OpenSearch Service offers advanced features for handling JSON, diverse search grammars, quick historical data retrieval, and ultra-warm storage. It also includes customizable dashboards and seamless tool integration for large enterprises. With its managed infrastructure, OpenSearch Service supports efficient system analysis and business analytics, improving overall performance and flexibility. Despite these features, areas like configuration complexity, lack of auto-scaling, and integration with Kibana require attention. Users seek enhanced documentation, better pricing options, and more flexible data handling. Desired improvements include default filters, mapping configuration, and alerting capabilities. Enhanced data visualization and Compute Optimizer Service integration are also recommended for future updates.

What features define Amazon OpenSearch Service?

Scalable Search: Offers reliable search capabilities across vast datasets.
JSON Handling: Supports efficient management of JSON data.
Ultra-warm Storage: Enables cost-effective historical data retrieval.
Dashboard Customization: Supports tool integration and tailored visuals.
System Upgrades: Allows for seamless infrastructure upgrades.

What benefits and ROI should users consider?

Performance Enhancement: Significant improvement in search and data retrieval.
Cost-Effectiveness: Provides a cloud-native solution optimized for AWS environments.
Comprehensive Analytics: Delivers detailed insights for business applications.

Amazon OpenSearch Service is utilized in various industries for log management, data storage, and search capabilities. It supports infrastructure and embedded management, analyzing logs from AWS Lambda, Kubernetes, and other services. Companies use it for application debugging, monitoring security and performance, and customer behavior analysis, integrating it with tools like DynamoDB and Snowflake for a cost-effective solution.

Amazon Web Services (AWS)

Cribl offers advanced data transformation and routing with features such as data reduction, plugin configurations, and log collection within a user-friendly framework supporting various deployments, significantly reducing data volumes and costs.

Cribl is designed to streamline data management, offering real-time data transformation and efficient log management. It supports seamless SIEM migration, enabling organizations to optimize costs associated with platforms like Splunk through data trimming. The capability to handle multiple data destinations and compression eases log control. With flexibility across on-prem, cloud, or hybrid environments, Cribl provides an adaptable interface that facilitates quick data model replication. While it significantly reduces data volumes, enhancing overall efficiency, there are areas for improvement, including compatibility with legacy systems and integration with enterprise products. Organizations can enhance their operational capabilities through certification opportunities and explore added functionalities tailored towards specific industry needs.

What are Cribl's most important features?

Data Transformation: Real-time data routing and transformation for improved efficiency.
Data Reduction: Reduces data volumes, lowering storage and licensing costs.
Routing and Masking: Offers powerful data masking and easy plugin configurations.
Log Collection: Simplifies the log collection process across different environments.
Deployment Flexibility: Supports on-prem, cloud, or hybrid deployments.
Seamless Integration: Facilitates easy migration to SIEMs and various data destinations.

What benefits or ROI should users look for?

Cost Savings: Reduces licensing costs by trimming unnecessary data.
Enhanced Efficiency: Improves data handling through seamless integration and transformation.
Operational Flexibility: Provides multiple deployment options to suit organizational preferences.
Data Management: Enhances user control over logs with advanced data reduction and compression.
Certification Opportunities: Offers users chances to enhance skills and operational capabilities.

Cribl sees extensive use in industries prioritizing efficient data management and cost optimization. Organizations leverage its capabilities to connect between different data sources, including cloud environments, improving both data handling and storage efficiency. Its customization options appeal to firms needing specific industry compliance and operational enhancements.

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel

Information Not Available

Amazon OpenSearch Service vs. Cribl