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Amazon Data Firehose vs Cribl 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

Amazon Data Firehose
Average Rating
9.0
Reviews Sentiment
8.1
Number of Reviews
1
Ranking in other categories
Cloud Data Integration (19th)
Cribl
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
65
Ranking in other categories
Application Performance Monitoring (APM) and Observability (6th), Log Management (3rd), Security Information and Event Management (SIEM) (5th), Observability Pipeline Software (1st)
 

Mindshare comparison

Amazon Data Firehose and Cribl aren’t in the same category and serve different purposes. Amazon Data Firehose is designed for Cloud Data Integration and holds a mindshare of 1.0%, down 1.2% compared to last year.
Cribl, on the other hand, focuses on Observability Pipeline Software, holds 36.0% mindshare, down 45.2% since last year.
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
Amazon Data Firehose1.0%
AWS Glue7.8%
AWS Database Migration Service6.9%
Other84.3%
Cloud Data Integration
Observability Pipeline Software Mindshare Distribution
ProductMindshare (%)
Cribl36.0%
Onum11.0%
BindPlane OP9.6%
Other43.4%
Observability Pipeline Software
 

Featured Reviews

Johnny Suleiman - PeerSpot reviewer
MS AWS expert at Bespin Global
Enhances our AI-driven analytics projects by providing a means to manage data streaming and delivery at any scale
The primary use case of Amazon Data Firehose is for real-time streaming data, specifically for data analysis and collection purposes. It is used to extract useful data and export it for machine learning algorithms to analyze, providing real-time data streaming Amazon Data Firehose enhances our…
JigarHirani - PeerSpot reviewer
Splunk Engineer at a recruiting/HR firm with 11-50 employees
Log pipelines have reduced daily data volume and now simplify traffic analysis
Overall, the pipelines and all the features are good with Cribl. The UI is good. Just sometimes, when I actually started using Cribl, I faced the issue where I was not able to connect the nodes. The pipeline is structured in a certain way, then the data will be routed to there, and something of that nature. I was very much confused about their whole products, such as Data Lake and pipelines. It's possible that at that time I didn't take any university courses, which is why I did not know much. But if they can give an intro on how we can connect nodes, or they can provide simple use cases showing what you can do with Cribl, it would help. If you just need to add the source and the destination and pre-build some proper workflow, then it will be easy for new customers to navigate through Cribl.

Quotes from Members

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

Pros

"The most valuable feature is its capability for real-time data streaming."
"I think it is cost-efficient because overall, after using Cribl, it helps users save cost and time."
"Using Cribl for five years has simplified a lot of use cases when onboarding data, and because it is simplified, it takes less time, which is a huge win."
"Cribl is one of the best data pipelining platforms, and with all the features that have been upgraded over the past three years, it has been seamless."
"The return on investment with Cribl is huge."
"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."
"There are no complaints, but it has been a very good experience using Cribl."
"Our experience with Cribl has been very smooth; everything runs seamlessly, there are no delays or sluggishness, which I really appreciate."
"The feature I appreciate most about Cribl is that it is really easy to use and quick to replicate data models on different data sets."
 

Cons

"Amazon Data Firehose enhances our AI-driven analytics projects by providing a means to manage data streaming and delivery at any scale."
"The reason I would not give it a ten is mainly due to the learning curve and initial complexity, especially for new users."
"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, we sit down, review the logs, and create regex patterns manually, which can be time-consuming."
"Cribl should consider adding more features that are applicable to smaller firms, allowing broader access to their data migration through Cribl."
"Regarding stability, lagging only happens if I exceed my data analysis stuff, but it is a limitation with Cribl as per their design."
"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."
"I think Cribl should enhance its visualization side, similar to Splunk or Grafana, where things can be visualized more accurately or presentably."
"One thing I think is that Cribl is very dependent on the packs. If you don't have packs and you need to do things on your own, it's not trivial."
 

Pricing and Cost Advice

Information not available
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
19%
Manufacturing Company
12%
Healthcare Company
6%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business50
Midsize Enterprise8
Large Enterprise35
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Data Firehose?
The pricing is fair and balanced for the capabilities provided by Amazon Data Firehose.
What needs improvement with Amazon Data Firehose?
There is no specific improvement mentioned for Amazon Data Firehose itself. However, it was noted that there could be room for a better understanding of real-time data streaming concepts for junior...
What is your primary use case for Amazon Data Firehose?
The primary use case of Amazon Data Firehose is for real-time streaming data, specifically for data analysis and collection purposes. It is used to extract useful data and export it for machine lea...
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?
Currently, Cribl is perfectly fine for us, and we have not observed any such issues. However, if we find anything later on, we will document it and share it with you. Cribl could respond more quick...
What is your primary use case for Cribl?
We are using Cribl for log trimming with a vast majority of log sources that have different log patterns or log types. Some logs come in syslog format, some are in JSON, and some are in other HTML ...
 

Comparisons

 

Overview

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration. Updated: August 2026.
909,679 professionals have used our research since 2012.