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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."
"My favorite feature is that Cribl is connected with Splunk very easily and it routes the data."
"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."
"Cribl is a Ferrari for data analytics and monitoring, but you don't hand over the power or weaponize that tool for someone who doesn't know how to use it."
"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 product's most valuable features include the internal management of events, coding perspective, data processing, and serialization."
"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."
"I'd rate the solution ten out of ten."
"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."
 

Cons

"Amazon Data Firehose enhances our AI-driven analytics projects by providing a means to manage data streaming and delivery at any scale."
"There is room for improvement in the documentation and knowledge base, particularly regarding configurations like sources where logs are being ingested"
"There is room for improvement in Cribl, as managing data from around forty thousand servers can become complex."
"Just sometimes, when I actually started using Cribl, I faced the issue where I was not able to connect the nodes."
"If I say one negative thing, the setup is a little bit trickier because observability setups are generally trickier."
"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."
"The user interface is acceptable, but I think a person who is just starting to use it will need to go through documentation because there is a steep learning curve to become familiar with Cribl Stream."
"One improvement opportunity exists with Git integration."
"Cribl could be improved by some UI tweaks and some usability tweaks, mostly centered around error troubleshooting for large volumes of Edge nodes."
 

Pricing and Cost Advice

Information not available
"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."
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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.