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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."
"The two features I find most valuable in AWS Glue are its user interface and ease of use."
"The most valuable feature for me is the visual interface of AWS Glue."
"AWS Glue's most valuable features are the data catalog, including crawlers and tables, and Glue Studio, which means you don't have to use custom code."
"The best thing about AWS Glue is its scalability and how easy it is to process a large amount of data."
"AWS Glue's best features are scalability and cloud-based features."
"We have found it beneficial when moving data from one source to another."
"AWS Glue has reduced efforts by 60%, which is the main benefit."
"It's very good to manage."
 

Cons

"Amazon Data Firehose enhances our AI-driven analytics projects by providing a means to manage data streaming and delivery at any scale."
"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 interface for AWS Glue could improve, they do not put a lot of details. You can write the code, in PySpark or in Scala, which is a big advantage, it is only easy to use for a developer. It will be difficult for new users to enter the cloud environment."
"AWS Glue's error handling is difficult."
"AWS Glue would be improved by making it easier to switch from single to multi-cloud."
"The crucial problem with AWS Glue is that it only works with AWS."
"I would like to see a more robust interface on the no-code side. This would be nice to be able to split cells."
"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."
"When there is a need to configure connections to different database sources in respect of the target, it would be good if it were easier to deal with roles."
 

Pricing and Cost Advice

Information not available
"It is not expensive. AWS Glue works on the serverless architecture. We get charged for the time the server is up. For our use case, we have to use it once in a day, and it is not expensive for us."
"I rate the tool's pricing a four out of ten."
"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."
"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."
"If you are using the solution for an enterprise business, it will be expensive."
"I rate pricing an eight out of ten."
"The solution's pricing is based on DPUs so it is a good idea to optimize use or it can get expensive."
"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
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.
890,071 professionals have used our research since 2012.