Try our new research platform with insights from 80,000+ expert users

Cribl vs Stackify comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 28, 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
9th
Ranking in Log Management
5th
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
31
Ranking in other categories
Security Information and Event Management (SIEM) (8th), Observability Pipeline Software (1st)
Stackify
Ranking in Application Performance Monitoring (APM) and Observability
61st
Ranking in Log Management
59th
Average Rating
7.8
Number of Reviews
6
Ranking in other categories
IT Infrastructure Monitoring (59th)
 

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Cribl is 1.2%, up from 0.5% compared to the previous year. The mindshare of Stackify is 0.6%, up from 0.2% 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 (%)
Cribl1.2%
Stackify0.6%
Other98.2%
Application Performance Monitoring (APM) and Observability
 

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.
Moses Arigbede - PeerSpot reviewer
Head of DevOps at Partsimony
Easy to set up with great custom dashboards but needs to improve non-.NET infrastructure
They need to improve non-.NET infrastructure. We always had difficulty when it comes to reporting or metrics that come from Linux operating systems and Docker containers. For anything that runs within the Unix environment, we always had problems with them, however, if it was a document-based application, Stackify was 100%, it gave everything. Now, the aggregation agent, the metric agent for Stackify for Linux, collects everything. When I say everything, I mean, everything. It collects so much information that we now started to term it as useless data as all that ingestion will just come in and overwhelm your log retention limit for the month and really this spike up your cost at the end of the month. You'll need to do a lot in order to train down the data coming in from all your Linux environments, to get to what you really need, which actually takes some time as well. I would like to be able to see metrics about individual running containers on the host machines. Stackify has not really gotten that right, as far as I'm concerned. Netdata has done a better job and New Relic has also done a better job. They need to improve on that. We need to be able to see the individual resource usage of containers running within a particular host.

Quotes from Members

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

Pros

"We save around 2.2 TB every day using Cribl by filtering out unwanted logs coming from syslog devices and other networking devices, which saves our license."
"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."
"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."
"Cribl's ability to handle high volumes of diverse data types is exactly the purpose that we took it for, and as far as I have seen for the last nine months, it is handling well without issues."
"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."
"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."
"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."
"The performance dashboard and the accurate level of details are beneficial."
"The solution is stable and reliable."
"The deployment is very fast."
"The filter feature on Stackify is one of the features I found valuable. It's awesome. When I want to get the application logs, the solution gives me many filters. For example, if I want to get logs from my test environment, the option is there for me to select the environment from Stackify, and you can also select the particular application, and you'll see the information you need there. The filter feature alone and the fact that Stackify offers a lot of different filters is what I like the most about the solution because I've used other tools with the filter feature, but the filtering was very difficult, versus Stackify that has good filtering. On Stackify, you can filter the information by the last one hour, or the last four hours, and you can also select the date range and specify the timestamp, then the solution will give you the information based on the date range you specified. Another feature I found valuable on Stackify is its rating feature because it tells you how your application is faring. For example, a rating of A means excellent, while a rating of F means very bad, or that your application is not doing well at all. The ratings are from A to F. I also like that Stackify helps you in terms of load management because the solution gives you information on overutilized resources. These are the most valuable features of the solution."
 

Cons

"Cribl could be improved by some UI tweaks and some usability tweaks, mostly centered around error troubleshooting for large volumes of Edge nodes."
"I do not think that if the pricing is on the higher side, it could be suitable for all types of users, such as small or medium ones."
"Cribl doesn't have as many packs available"
"Their documentation should be updated."
"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."
"However, the endpoint plug-in tool can use some refinement, as it tends to hit system resources and can sometimes be detrimental to systems to the point where it must be turned off and a scan restarted when a user is offline."
"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."
"One area that could be improved is the aggregation functionality within Cribl."
"I would like to be able to see metrics about individual running containers on the host machines."
"The search feature could be improved."
"It should be easily scalable and configurable in different instances."
"I've not used Stackify for a while, and I'm currently using a solution now that's not as good as Stackify. Among the solutions I've been using so far, Stackify has been one of the best for me, but there's always room for improvement. For example, I don't know if it's just me, but when I try to get the log from Stackify, sometimes it doesn't appear in real-time. It takes a few minutes before the logs appear. When I redeploy my solution and the application starts, I don't see the logs immediately, and it would take two to three minutes before I see the logs. I don't know if other customers have a similar experience. It's the wait time for the logs to appear that's a concern for me, could be improved, and is what the Stackify team should be looking into. In terms of any additional feature that I'd like added to the solution, I'm not sure if Stackify has a way to export logs out. I've been trying to do it. On the solution, you can click on a spiral-like icon and it shows you the entire error, and I'd prefer an export button that would let me download the error and save that into a text file, for example, so it'll be available on my local machine for me to reference it, especially because the log keeps going and as you're using the solution, the system keeps pushing messages on to Stackify, so if I'm looking at a particular error at 12:05 PM, for example, by the time I go back to my system and would like to revisit the error at 12:25 PM, on Stackify, the logs would have gone past that level and I won't see it again which makes it difficult. When you now go back to that timestamp, you don't tend to see it immediately, but if the solution had an export feature for me to save that particular error information on my local machine for reference at a later time, I won't have to go back to Stackify. I just go to that log, specifically to that particular export that I've received on my local machine. I can get it and review it, and it would be easier that way versus me going back to Stackify to find that particular error and request that particular information."
 

Pricing and Cost Advice

"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."
"The product pricing is reasonable compared to other solutions."
"The price is variable. It depends on how much data we have received in that particular month. Usually, it goes up to $2,000, or, at times, $3,000 USD per month."
report
Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
881,082 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
12%
Healthcare Company
6%
Computer Software Company
5%
Comms Service Provider
11%
Media Company
11%
Performing Arts
9%
Insurance Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise18
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise2
 

Questions from the Community

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 ...
Ask a question
Earn 20 points
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion
Find out what your peers are saying about Cribl vs. Stackify and other solutions. Updated: January 2026.
881,082 professionals have used our research since 2012.