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AWS Glue vs Amazon Data Firehose comparison

 

Comparison Buyer's Guide

Executive Summary

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
Ranking in Cloud Data Integration
18th
Average Rating
9.0
Reviews Sentiment
8.1
Number of Reviews
1
Ranking in other categories
No ranking in other categories
AWS Glue
Ranking in Cloud Data Integration
1st
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
50
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2026, in the Cloud Data Integration category, the mindshare of Amazon Data Firehose is 1.1%, up from 0.8% compared to the previous year. The mindshare of AWS Glue is 8.2%, down from 20.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
AWS Glue8.2%
Amazon Data Firehose1.1%
Other90.7%
Cloud Data Integration
 

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…
SC
application security engineer at Hyperspace IT India
Efficient data integration reduces operational time and enhances metadata management
For the initial setup with AWS Glue, I find it easy to set up the data catalog and create Glue jobs using the visual editor or the visual code. Setting permission sets via IAM rules can be a bit tricky at the start, but we ensure Glue has access to AWS S3, Redshift, and other services. Once the role is configured, it runs smoothly. For advanced configurations, connecting to VPCs and setting up connections with JDBC sources takes more time compared to my cloud experience, but overall, for someone with cloud and ETL experience, the setup is manageable and well done.

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 like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."
"If I'm working with big data, common languages like Python work quite nicely, which is advantageous."
"It is a very scalable solution."
"The key role for Glue is that it hosts our metadata before rolling out our actual data. This is the major advantage of using this solution and our clients client have been very satisfied with it."
"AWS Glue is fast and managed by AWS. Hence, you don't have to worry about capacity and the performance of Glue jobs. It has integrations with other data stores of AWS. The product offers metadata management, logging, and ETL processing capabilities. It comes with a powerful feature, Glue Studio, which helps to do queries interactively within the community. It is a managed service and very secure. Another popular and mature service is S3."
"AWS Glue is a highly stable solution."
"We are seeing a very good return on our investment."
"The most valuable feature for me is the visual interface of AWS Glue."
 

Cons

"Amazon Data Firehose enhances our AI-driven analytics projects by providing a means to manage data streaming and delivery at any scale."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"The setup and installation is a bit complex without advanced knowledge or training."
"AWS Glue should be more reliable and faster in processing. Enhancing the speed of data processing would be beneficial."
"It is very difficult to learn the tool and remember the syntaxes comparatively."
"We face performance issues when using AWS Glue for data transformation and integration."
"In the building and deployment aspects, there is room for improvement. The current process is a bit complicated and could benefit from being more user-friendly and simpler, which would help speed up the deployment process."
"The solution's visual ETL tool is of no use for actual implementation."
"I am quite technical, yet when it comes to data pipelines, I prefer using GUIs over code-based calls. It might be easier with a different skill set."
 

Pricing and Cost Advice

Information not available
"The current cost is around forty to fifty thousand a month."
"I rate the tool's pricing a four out of ten."
"I rate the tool an eight on a scale of one to ten, where one is expensive, and ten is expensive."
"AWS Glue is quite costly, especially for small organizations."
"AWS Glue is a high-priced solution that bills the client $150,000 to $250,000 annually."
"I rate the product's pricing a five on a scale of one to ten, where one is a high price, and ten is a low price."
"The pricing is a bit higher than other solutions like Athena and EC2. If the pricing becomes more scaled or flexible, it will be good because you have to pay 44 cents just for one DPU for an hour. If you increase DPUs to 5 or 10, the pricing gets multiplied. There are also some time limits like 0 to 10 minutes or 10 to 20 minutes. If the pricing is according to the minutes, it would be better because you have to limit your job to 10 minutes or 20 minutes."
"I rate pricing an eight out of ten."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
19%
Computer Software Company
9%
Manufacturing Company
8%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise6
Large Enterprise32
 

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...
How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Talend Open Studio compare with AWS Glue?
We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...
What are the most common use cases for AWS Glue?
AWS Glue's main use case is for allowing users to discover, prepare, move, and integrate data from multiple sources. The product lets you use this data for analytics, application development, or ma...
 

Overview

 

Sample Customers

Information Not Available
bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration. Updated: March 2026.
889,855 professionals have used our research since 2012.