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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 March 2026, in the Cloud Data Integration category, the mindshare of Amazon Data Firehose is 1.3%, up from 0.6% compared to the previous year. The mindshare of AWS Glue is 8.8%, 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 Glue8.8%
Amazon Data Firehose1.3%
Other89.9%
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."
"It's very good to manage."
"We have found it beneficial when moving data from one source to another."
"The solution is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs."
"The solution's technical support is good. Whenever we raise a use case where we face an issue in our company, we get a response from the solution's technical team."
"It is a very scalable solution."
"It is a stable and scalable solution."
"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."
"Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs."
 

Cons

"Amazon Data Firehose enhances our AI-driven analytics projects by providing a means to manage data streaming and delivery at any scale."
"While working on AWS Glue, I could not find any training material for it."
"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."
"The price of the solution could improve."
"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."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"The drawbacks associated with the product stem from the fact that, based on the data volume, it can become very costly."
"The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS."
"The solution should offer features for streaming data in addition to batching data."
 

Pricing and Cost Advice

Information not available
"The solution's pricing is based on DPUs so it is a good idea to optimize use or it can get expensive."
"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."
"It is an expensive product. I rate its pricing a nine out of ten."
"AWS Glue is a paid service that doesn't come under the free trial of AWS."
"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."
"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."
"AWS Glue follows a pay-as-you-go model, wherein the cost of the data you use will be counted as a monthly bill."
"The current cost is around forty to fifty thousand a month."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
19%
Computer Software Company
11%
Manufacturing Company
8%
Government
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: February 2026.
884,076 professionals have used our research since 2012.