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Cribl vs OpenTelemetry comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 15, 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

Cribl
Ranking in Application Performance Monitoring (APM) and Observability
12th
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
25
Ranking in other categories
Log Management (6th), Security Information and Event Management (SIEM) (10th), Observability Pipeline Software (1st)
OpenTelemetry
Ranking in Application Performance Monitoring (APM) and Observability
51st
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Cribl is 1.1%, up from 0.3% compared to the previous year. The mindshare of OpenTelemetry is 1.9%, up from 0.8% 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 (%)
Cribl1.1%
OpenTelemetry1.9%
Other97.0%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Richard McIver - PeerSpot reviewer
Simplifies data processing and reduces ingest costs through real-time transformation
My favorite feature of Cribl is just how easy it makes working with the data; it's always been a pain point for us with other solutions, just taking our raw data from the source, transforming and manipulating it into what we need on the SIM side. That's always been a pretty heavy lift, however, Cribl has made that much easier. The tools built into the platform allow us to work with the data, see the results in real-time, see what the output's going to look before we commit it, and has really made our job in that respect a lot easier. The Cribl UI is very simple and easy to use, particularly when working with data from various sources; it makes it very easy to create pipelines, add complex logic to those pipelines, and then gives you a preview of what your data looks like before applying that pipeline and what you get after. As we're bringing data in and Cribl's processing it, it makes it very easy to identify subsets of data or certain events that source data that maybe are less useful or just noisy, not really applicable to to what we need what our security team needs, and we're able to just drop those events before they get sent out and and ingested by our SIEM. So that helps keep our data pipeline streamlined, keeps our output clean. It filters out noise, and then it makes our analysis more efficient. That reduces the data volume going into our SIMs, and that reduces and limits the ingest costs associated with that end. With less data, there's less to process when you're running complex searches. So we have charges against those compute resources reduced.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
8%
Manufacturing Company
8%
Healthcare Company
7%
Financial Services Firm
20%
Computer Software Company
16%
Manufacturing Company
7%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise15
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Cribl?
I did not deal with pricing directly. We had a team that dealt with Cribl.
What needs improvement with Cribl?
The product is very good. They could add more AI-assisted pipeline development in the future release.
What is your primary use case for Cribl?
My current use cases involve using it as a pipeline to process data, to route data from cloud logs to different repositories. Some data goes to Splunk and others go to different data lakes. I didn'...
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Comparisons

 

Overview

 

Sample Customers

Information Not Available
1. Atlassian 2. Cisco 3. Datadog 4. DigitalOcean 5. Google 6. IBM 7. Intel 8. Kibana 9. LinkedIn 10. Microsoft 11. MongoDB 12. NetApp 13. Oracle 14. Pinterest 15. Red Hat 16. Salesforce 17. SAP 18. Splunk 19. Square 20. SUSE 21. TMobile 22. Twitter 23. VMware 24. WeWork 25. Xero 26. Zoom 27. Zynga
Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: October 2025.
872,778 professionals have used our research since 2012.