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Cribl vs Onum comparison

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 Observability Pipeline Software
1st
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
25
Ranking in other categories
Application Performance Monitoring (APM) and Observability (12th), Log Management (6th), Security Information and Event Management (SIEM) (10th)
Onum
Ranking in Observability Pipeline Software
5th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Data Observability (11th)
 

Mindshare comparison

As of October 2025, in the Observability Pipeline Software category, the mindshare of Cribl is 44.6%, down from 47.7% compared to the previous year. The mindshare of Onum is 12.2%. It is calculated based on PeerSpot user engagement data.
Observability Pipeline Software Market Share Distribution
ProductMarket Share (%)
Cribl44.6%
Onum12.2%
Other43.2%
Observability Pipeline Software
 

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
8%
Healthcare Company
12%
Financial Services Firm
11%
Comms Service Provider
11%
Manufacturing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise14
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?
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