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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
19th
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 February 2026, in the Cloud Data Integration category, the mindshare of Amazon Data Firehose is 1.4%, up from 0.4% compared to the previous year. The mindshare of AWS Glue is 9.2%, down from 20.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Market Share Distribution
ProductMarket Share (%)
AWS Glue9.2%
Amazon Data Firehose1.4%
Other89.4%
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."
"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."
"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"AWS Glue has reduced efforts by 60%, which is the main benefit."
"The most valuable feature of AWS Glue is its ease of use and good documentation. Additionally, we can do all the transformations that we need."
"The solution integrates well with other AWS products or services."
"The most valuable feature for me is the visual interface of AWS Glue."
"It's fairly straightforward as a product; it's not very complicated."
 

Cons

"Amazon Data Firehose enhances our AI-driven analytics projects by providing a means to manage data streaming and delivery at any scale."
"The drawbacks associated with the product stem from the fact that, based on the data volume, it can become very costly."
"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 solution should offer features for streaming data in addition to batching data."
"The point for improvement in AWS Glue would be the dynamic allocation of resources while utilizing Lambda functions."
"The monitoring is not that good."
"It is very difficult to learn the tool and remember the syntaxes comparatively."
"I would like to see stable libraries at the moment they are not there."
"Beginners need additional support as it currently lacks some features required for complex transformations, often necessitating custom Python coding."
 

Pricing and Cost Advice

Information not available
"The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."
"I rate pricing an eight out of ten."
"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 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."
"The current cost is around forty to fifty thousand a month."
"AWS Glue uses a pay-as-you-go approach which is helpful. The price of the overall solution is low and is a great advantage."
"I rate the tool an eight on a scale of one to ten, where one is expensive, and ten is expensive."
"If you are using the solution for an enterprise business, it will be expensive."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
20%
Computer Software Company
11%
Manufacturing Company
8%
Government
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: January 2026.
882,207 professionals have used our research since 2012.