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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
17th
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 January 2026, in the Cloud Data Integration category, the mindshare of Amazon Data Firehose is 1.5%, up from 0.3% compared to the previous year. The mindshare of AWS Glue is 9.8%, down from 19.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Market Share Distribution
ProductMarket Share (%)
AWS Glue9.8%
Amazon Data Firehose1.5%
Other88.7%
Cloud Data Integration
 

Featured Reviews

Johnny Suleiman - PeerSpot reviewer
MS AWS expert at Bespin Global MEA, an e& enterprise Company
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."
"It is a very scalable solution."
"AWS Glue has reduced efforts by 60%, which is the main benefit."
"You do not need many frameworks to run Glue."
"It is AWS-integrated. There is end-to-end integration with the other AWS services. It is also user-friendly."
"AWS Glue's best features are scalability and cloud-based features."
"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."
"Its ease of use, cost-effectiveness, and highly secure architecture are some of the most valuable features."
"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."
 

Cons

"Amazon Data Firehose enhances our AI-driven analytics projects by providing a means to manage data streaming and delivery at any scale."
"Beginners need additional support as it currently lacks some features required for complex transformations, often necessitating custom Python coding."
"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."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"The product has only a few built-in transformations."
"The solution should offer features for streaming data in addition to batching data."
"Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background."
"The technical support for this solution could be improved. In future, we would like to connect more services like Athena or Kinesis to help control more loads of data."
"Cost-wise, AWS Glue is expensive, so that's an area for improvement. The process for setting up the solution was also complex, which is another area for improvement."
 

Pricing and Cost Advice

Information not available
"AWS Glue follows a pay-as-you-go model, wherein the cost of the data you use will be counted as a monthly bill."
"AWS Glue is a high-priced solution that bills the client $150,000 to $250,000 annually."
"Technical support is a paid service, and which subscription you have is dependent on that. You must pay one of them, and it ranges from $15,000 to $25,000 per year."
"If you are using the solution for an enterprise business, it will be expensive."
"I rate the tool an eight on a scale of one to ten, where one is expensive, and ten is expensive."
"The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."
"The solution's pricing is based on DPUs so it is a good idea to optimize use or it can get expensive."
"It is an expensive product. I rate its pricing a nine out of ten."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
20%
Computer Software Company
12%
Manufacturing Company
8%
Insurance Company
6%
 

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: January 2026.
881,282 professionals have used our research since 2012.