Amazon OpenSearch Service vs Cribl comparison

Amazon OpenSearch Service

Read 64 Cribl reviews

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98% willing to recommend

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Executive SummaryUpdated on Feb 22, 2026

Cribl Stream and Amazon OpenSearch Service both compete in the log management and data analytics category. Based on the comparative analysis of features, Cribl Stream appears to have an edge due to its cost-effectiveness and flexible deployment capabilities, while Amazon OpenSearch Service stands out for its scalability and integrated analytics features.

Features: Cribl excels in log management by handling diverse logs and reducing data costs efficiently. It provides flexibility in data routing and offers powerful functionalities for data transformation. Amazon OpenSearch Service is noted for its scalability, managed database experience, and seamless integration with AWS, supporting fast search capabilities and powerful analytics features.

Room for Improvement: Cribl could improve integration with legacy systems and expand feature packs to streamline log management further. Enhancements in internal logging and user documentation are also needed. Amazon OpenSearch Service requires better cost management features and improved configuration flexibility, alongside stronger documentation and simpler scaling options.

Ease of Deployment and Customer Service: Cribl offers deployment flexibility across on-premises, hybrid, and cloud environments, with commendable customer service known for prompt responses and direct access to service engineers. Amazon OpenSearch Service, primarily for cloud deployments, provides reliable technical support, though users suggest better comprehension of complex customer needs could be beneficial.

Pricing and ROI: Cribl presents a cost-effective solution, focusing on reducing data volumes and downstream costs, often proving cheaper than competitors like Splunk. The savings in data processing provide a good return on investment. In contrast, Amazon OpenSearch Service may incur higher costs due to continuous charges, although its managed nature reduces labor-related expenses.

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

Amazon OpenSearch Service vs. Cribl

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Helped 900,747 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

22nd

Ranking in Log Management

19th

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

5th

Ranking in Log Management

3rd

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (6th), Observability Pipeline Software (1st)

Mindshare comparison

As of June 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.1%, down from 2.0% compared to the previous year. The mindshare of Cribl is 1.2%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Cribl	1.2%
Amazon OpenSearch Service	1.1%
Other	97.7%

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

"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."

"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."

"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."

"AWS has now made our life easy."

"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."

"It's a good log management platform. In terms of infrastructure management, it's good."

"In case there is a failure, Elastic manages everything well, and there no major downtime."

"This service already sorts data like vectors. They have classified the storage pre-defined."

More Amazon OpenSearch Service pros

"Cribl is a Ferrari for data analytics and monitoring, but you don't hand over the power or weaponize that tool for someone who doesn't know how to use it."

"We reduce cost by using Cribl to control what data we need to be sent over to the SIEM, and we were able to use their functionality, specifically aggregation and also some of the drop functions within Cribl to cut down this noise, send a full copy of the data to S3 or a different data lake, and then send the reduced log over to the SIEM."

"Because of Cribl, we have experienced very high impact in cost efficiency, data clarity, and data optimization."

"Cribl offers other valuable features. For instance, you can replay data from an edge device, store your daily data in a stream, and replay specific event data into Splunk if a security incident occurs"

"The best feature in Cribl, when getting logs from some custom application, is the ability to break up logs that pile up together and come as one event."

"Cribl features integration support since it works with 50 plus sources and destinations, data routing and flexibility allowing me to easily route telemetry to multiple destinations such as SIEM, data lake, and cheap object storage, and data processing and reduction because it filters out unwanted fields, removes redundant data, and restructures logs before reaching systems, which is helpful in saving cost and improving performance."

"Cribl is very useful because we have multiple clouds and it has been processing our logs from multiple different platforms into a single one, and it is processing to multiple other platforms as well."

"Cribl Cloud has no issues with handling large data ingestion volumes."

More Cribl pros

Cons

"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."

"As a user, lower prices or reasonable pricing is always better."

"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 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."

"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."

"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."

"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."

More Amazon OpenSearch Service cons

"What I dislike about Cribl are the documentation gaps and the setup complexity."

"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 is room for improvement in the documentation and knowledge base, particularly regarding configurations like sources where logs are being ingested"

"Sometimes Cribl goes down, and we miss logs during that time, which is an issue."

"My experience with the user interface when managing log processing tasks is quite complex for new beginners, and there is also a documentation gap that leads new beginners to take a while to get fluency over the software."

"Their documentation should be updated."

"The deployment itself is a bit complicated and the documentation is not very clear."

"Cribl can improve by providing automated analytics and advanced parsing capabilities since it handles data at its core."

More Cribl cons

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."

"The solution is not expensive, but priced averagely, I will say."

"You only pay for what you use."

"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

10%

Government

Financial Services Firm

20%

Manufacturing Company

12%

Healthcare Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	2
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	46
Midsize Enterprise	8
Large Enterprise	34

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?

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...

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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