Amazon OpenSearch Service vs Cribl comparison

Amazon OpenSearch Service

Read 55 Cribl reviews

18,441 Views
5,348 Comparison Views

98% willing to recommend

Comparison Buyer's Guide

Download the report

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: March 2026).

Amazon OpenSearch Service vs. Cribl

Download the complete report

Helped 884,933 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

23rd

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

8th

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) (7th), Observability Pipeline Software (1st)

Mindshare comparison

As of March 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.4%, down from 1.5% compared to the previous year. The mindshare of Cribl is 1.2%, up from 0.6% 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	1.4%
Other	97.4%

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.

Read full review

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.

Read full review

Quotes from Members

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

Pros

"The business analytics capabilities are the most important feature it provides."

"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."

"The initial set up is very easy...We really appreciate Amazon!"

"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."

"The stability of the product is good."

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

"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."

More Amazon OpenSearch Service pros

"What we've seen is really an overall reduction of just shy of 40% in our ingest into our SIM platform versus prior to having Cribl, and those ingest costs have basically canceled out the pricing of Cribl licensing for us based on the volume of data that we have."

"The features of Cribl that I appreciate the most are the vendor agnosticism and the ability to send data almost anywhere you want, regardless of the data type, the format, or the destination; it's very flexible, and we've been able to integrate it with the tools that we have used in the past and are planning to use in the future."

"Cribl is intuitive, and a user can easily see how the payload or log looks before conversion and how it looks after conversion, and what has been transferred to the destination."

"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."

"Cribl's ability to contain data cost and complexity is actually very good."

"I'd rate the solution ten out of ten."

"The Stream product benefits us as it gives us the ability to reduce and streamline the logs that we have getting into our SIEM."

"There are no complaints, but it has been a very good experience using Cribl."

More Cribl pros

Cons

"One improvement I would like to see is support for auto-scaling."

"There is the problem with the database. Amazon only provides the host to run to our applications bias, but there is no option to manage the database within the Elasticsearch 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."

"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."

"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."

"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."

"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

"Cribl is a very costly product. People nowadays have started considering alternative solutions."

"The speed was fast. The quality, however, there wasn't a solution just because I think it was a bug and it was never fixed as far as I know."

"When I explored the endpoint, I found myself wishing for clearer instructions presented in a sequential manner."

"Some of the integrations such as SNMP need improvement, and I feel Cribl should improve on SNMP integration and also on the database monitoring space."

"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."

"Regarding Cribl's ability to contain data cost and complexity, if they can reduce their cost, that will make them more competitive."

"One thing I think is that Cribl is very dependent on the packs. If you don't have packs and you need to do things on your own, it's not trivial."

"Cribl could have developed some version that can give backward compatibility."

More Cribl cons

Pricing and Cost Advice

"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."

"Compared to other cloud platforms, it is manageable and not very expensive."

"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."

See which vendors are best for you

Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.

See recommendations

884,933 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

10%

Computer Software Company

10%

Government

Financial Services Firm

20%

Manufacturing Company

11%

Healthcare Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	2
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	5
Large Enterprise	34

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?

What is your experience regarding pricing and costs for Cribl?

Regarding current pricing, it was based on an ingress-based model that we used, and it was favorable. It was cheaper than the Splunk license. We didn't have a problem with the purchase.

What needs improvement with Cribl?

Some downsides of Cribl include that it was quite a long sales cycle for us, but that was probably partly my fault as well. There weren't really any negatives on the product itself. Cribl can do be...

What is your primary use case for Cribl?

My use cases for Cribl basically involve being part of a Splunk theme organization where I was brought in to do a soft confirmation program, and I was onboarding more and more logs into Cribl as my...

Grafana Loki vs Amazon OpenSearch Service

Comparisons

Compared 13% of the time

Xapien vs Amazon OpenSearch Service

Compared 6% of the time

Datadog vs Amazon OpenSearch Service

Compared 5% of the time

Amazon CloudWatch vs Amazon OpenSearch Service

Compared 5% of the time

Grafana vs Amazon OpenSearch Service

Compared 4% of the time

More Amazon OpenSearch Service Competitors

Onum vs Cribl

Compared 10% of the time

DataBahn vs Cribl

Compared 9% of the time

BindPlane OP vs Cribl

Compared 7% of the time

Splunk Enterprise Security vs Cribl

Compared 4% of the time

Datadog vs Cribl

Compared 4% of the time

More Cribl Competitors

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