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Cribl vs Mezmo comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 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

Cribl
Ranking in Application Performance Monitoring (APM) and Observability
5th
Ranking in Log Management
3rd
Ranking in Observability Pipeline Software
1st
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
64
Ranking in other categories
Security Information and Event Management (SIEM) (6th)
Mezmo
Ranking in Application Performance Monitoring (APM) and Observability
75th
Ranking in Log Management
56th
Ranking in Observability Pipeline Software
8th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Observability Pipeline Software category, the mindshare of Cribl is 36.8%, down from 45.9% compared to the previous year. The mindshare of Mezmo is 3.3%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Observability Pipeline Software Mindshare Distribution
ProductMindshare (%)
Cribl36.8%
Mezmo3.3%
Other59.900000000000006%
Observability Pipeline Software
 

Featured Reviews

Aman Verma - PeerSpot reviewer
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.
TO
President and Founder at STILLWATER SUPERCOMPUTING INC
It consolidates all logs into one place and provides required features and functionalities
Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to do RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue.

Quotes from Members

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

Pros

"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 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 has the ability to send data to different destinations, making it a vendor-agnostic tool, and for log management we can parse values or enhance fields at Cribl level and then send it to different destinations such as S3, Splunk, Elastic, or other destinations, which I love most because it acts as an intermediate heavy forwarder that can route data to different destinations."
"Cribl is a very good platform to work with, with lots of features that other platforms don't provide."
"The Stream product benefits us as it gives us the ability to reduce and streamline the logs that we have getting into our SIEM."
"Cribl provides visibility and helps in that regard; we get real-time metrics, allowing us to see when we need to increase the compute of our servers or when we have over-provisioned resources."
"The support team was very helpful and managed to get everything production-ready."
"My favorite option in Cribl is the Stream product."
"We haven't had anything yet that we couldn't do through LogDNA."
"The solution aggregates all event streams, so that if there are any issues, it's all in the same interface."
"LogDNA consolidates all logs into one place, which is super valuable."
"With LogDNA, which brings all the logs together in an interleaved stream, it allows us to take a transaction and relate it to other contextual events making the gathering of evidence for auditors and our internal RCA much more productive."
 

Cons

"It would be really nice to be able to see Cribl gain insights from the data as the data is in stream, in flight, on the way to wherever its final storage destination is."
"Cribl could have developed some version that can give backward compatibility."
"Their documentation should be updated."
"From my perspective of the stability and reliability of the solution, there have been times where certain releases have bugs inside of them that we have to work around in order to make the solution work as intended."
"One improvement opportunity exists with Git integration."
"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."
"Cribl can improve by providing automated analytics and advanced parsing capabilities since it handles data at its core."
"What I dislike about Cribl is that it represents my direct pain point."
"Scalability could be improved; we are using it through the IBM cloud deployment and on some of the data centers that are very heavily used, there is a significant lag in the event stream, sometimes 10, 15 minutes behind, which makes the RCA impossible."
"Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue."
"No ability to encapsulate a query or a filter, and communicate or share that among the team."
 

Pricing and Cost Advice

"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
12%
Healthcare Company
6%
Government
5%
Transportation Company
18%
Construction Company
16%
Comms Service Provider
11%
Financial Services Firm
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business46
Midsize Enterprise8
Large Enterprise34
No data available
 

Questions from the Community

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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Comparisons

 

Also Known As

No data available
LogDNA
 

Overview

 

Sample Customers

Information Not Available
Instacart, Asics, Lime, Salesforce
Find out what your peers are saying about Cribl vs. Mezmo and other solutions. Updated: June 2026.
900,747 professionals have used our research since 2012.