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Cribl vs Sumo Logic Observability 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:
 

ROI

Sentiment score
4.3
Cribl is cost-effective compared to Splunk, but not all users see clear returns in time and cost savings.
Sentiment score
7.0
Sumo Logic Observability improved operational efficiency, reduced downtime, and provided better issue resolution, visibility, stability, and proactive IT management.
In the case of optimization, it has helped return on investment to somewhere close to 50%.
we have saved a significant amount of time and resources moving from a manual approach to something that's more automated.
 

Customer Service

Sentiment score
5.0
Cribl's customer support is effective and prompt, with high satisfaction despite some noted areas needing improved understanding of customer needs.
Sentiment score
7.8
Sumo Logic Observability's customer service is highly rated, with quick responses and helpful support, particularly for advanced and OpenTelemetry issues.
They had extensive expertise with the product and were able to facilitate everything we needed.
If they could enhance their internal logging, we won't require Cribl support to engage.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
 

Scalability Issues

Sentiment score
5.9
Cribl is highly scalable, enabling efficient workload distribution and quick deployment, appealing to businesses of all sizes.
Sentiment score
7.3
Sumo Logic Observability scales efficiently for diverse users, handling peak records with ease, supported by Fluent Bit and OpenTelemetry.
Cribl is quite scalable, as we could add worker nodes as our data grows.
I don't need to talk to a Cribl engineer to connect a new log source.
It's an enterprise version, and we have a good amount of users using this solution.
 

Stability Issues

Sentiment score
6.3
Cribl is stable and reliable, with users praising its 99.9% uptime and effective problem-solving mechanisms, despite minor issues.
Sentiment score
8.8
Sumo Logic Observability is highly reliable, with users experiencing no issues and rating its reliability a perfect ten for enterprises.
Cribl is quite stable and doesn't crash; there's no unusual behavior.
I would rate the stability as ten out of ten.
If the pipeline is down and we receive an alert that it's not sending information to the log collection platform for more than one or two hours, if we receive an alert, it would be great.
 

Room For Improvement

Cribl faces compatibility issues, UI limitations, and documentation inconsistencies, requiring enhancements in integration, customization, and data handling.
The system requires efficiency improvements in data usage, cost management, enrichment, search interface, query speed, and pre-built dashboards.
If we can have more internal logs and more debug logs to validate the error, that would be beneficial because instead of reaching out to Cribl support, we can troubleshoot and find the root cause ourselves.
In terms of large datasets—whether they originated from network inputs, virtual machines, or cloud instances—ingesting the data into the destination was relatively easy.
Since Cribl is such a large platform with numerous features, having a clear, structured approach would make it easier for me and others to understand and utilize its capabilities.
 

Setup Cost

Cribl offers competitive pricing valued for cost-effectiveness and scalability, though its complex credit system can cause confusion.
<p>Sumo Logic Observability provides flexible, competitive pricing for enterprises, but additional costs may apply for advanced features and high data volumes.</p>
Over time, the licensing cost has increased.
I don't think any other solution offers this much value at this price point.
 

Valuable Features

Cribl is praised for its efficient data management, integration capabilities, user-friendly interface, and flexibility in handling large volumes.
Sumo Logic Observability offers real-time alerting, apps, team collaboration, easy integration, and a flexible query language, boosting incident resolution.
The data reduction and preprocessing capabilities make Cribl really unique.
Cribl has a feature called JSON Unroll or Unroll function that allows you to differentiate the events; each event will come ingested as a single log instead of piling it up with multiple events.
With the upgrades, it has integrated with multiple new sources and different integration mechanisms such as Wiz, TCP, Syslog; all those functionalities have been excellent.
 

Categories and Ranking

Cribl
Ranking in Application Performance Monitoring (APM) and Observability
12th
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
20
Ranking in other categories
Log Management (6th), Security Information and Event Management (SIEM) (10th), Observability Pipeline Software (1st)
Sumo Logic Observability
Ranking in Application Performance Monitoring (APM) and Observability
23rd
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
6
Ranking in other categories
Cloud Monitoring Software (17th), AIOps (11th)
 

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 Sumo Logic Observability is 0.4%, 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 (%)
Cribl1.1%
Sumo Logic Observability0.4%
Other98.5%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Manoj Gowda J - PeerSpot reviewer
Helps reduce log ingestion cost by dropping unnecessary events and customizing pipelines
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 has a feature called JSON Unroll or Unroll function that allows you to differentiate the events; each event will come ingested as a single log instead of piling it up with multiple events. This is critical as this generally happens in CrowdStrike. This feature helps us significantly. When the ingestion is high from unwanted logs, logs not related to security purposes can be dropped by writing the parser function. By dropping events that are not required for security purpose monitoring, we can reduce the ingestion, which drastically reduces the cost as well. Cribl gives another option where I can store some logs, and when needed, I can pick them up from there. The interface is very handy and not very complicated, yet there are many functions you can perform. You can play around with numerous functions, parse there, and add UDMs to SecOps, which makes it really easy. To simplify the pipeline, when we go to the pipelines, there are vast options. We can make it specific requirements based on the customers. I would prefer a customized or simplified version. Cribl is a very good platform to work with, with lots of features that other platforms don't provide.
Shamshir Nangla - PeerSpot reviewer
Getting up and running is easy, even for a newbie but management of searches definitely needs improvement
Operational effectiveness with regards to when there's an issue, when there's a reactive issue, people are able to, or as well as proactively, actually, because we use their PagerDuty integrations. We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening. With those same alerts, obviously, with that platform, you can use it to reactively start looking at troubleshooting issues as they're happening right then and there or incidents. So it's been very, very good for alerting and for troubleshooting issues. For predicting issues before they happen, it is not very good. They have a feature called anomaly detection, but I think it's quite premature compared to other stuff out there. So it's good for alerts and for troubleshooting operational effectiveness. When your operations are down or segregated, it's perfect because it will help you diagnose the issues.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
9%
Manufacturing Company
8%
Healthcare Company
8%
Computer Software Company
13%
Financial Services Firm
12%
Manufacturing Company
9%
Transportation Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise8
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Cribl?
Cribl is very inexpensive, with enterprise pricing around 30 cents per GB, which is really decent. Organizations looking to ingest terabytes or petabytes of data each day find it quite an inexpensi...
What needs improvement with Cribl?
They've already done many good things with the product, but perhaps they could implement a temporary SIEM solution where we could store logs and display them as a SIEM, though I think that's not th...
What is your primary use case for Cribl?
Our main use case for Cribl was SIEM migration, where we merged multiple SIEM solutions to a single SIEM solution. SIEM migration was the most major use case we were looking for. The second use cas...
What needs improvement with Sumo Logic Observability?
The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five m...
What is your primary use case for Sumo Logic Observability?
We used it for log observability – log aggregation specifically.
 

Overview

Find out what your peers are saying about Cribl vs. Sumo Logic Observability and other solutions. Updated: September 2025.
868,787 professionals have used our research since 2012.