What is AWS Glue?
AWS Glue is a serverless data integration service that makes data preparation simpler, faster, and cheaper. You can discover and connect to over 70 diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
88 Likeliness to Recommend
99 Plan to Renew
79 Satisfaction of Cost Relative to Value
1
Since last award
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+95 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love AWS Glue?
Pros
- Continually Improving Product
- Respectful
- Fair
- Helps Innovate
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Metadata Management
Administrative Features
Data Quality Profiling and Cleansing
Data Security
Batch Integration
Data Virtualization
Multi Channel Support
iPaaS
Synchronization and Replication
Real Time Integration
API Management and Orchestration
Vendor Capability Ratings
Ease of Data Integration
Business Value Created
Ease of Implementation
Vendor Support
Quality of Features
Ease of IT Administration
Availability and Quality of Training
Usability and Intuitiveness
Product Strategy and Rate of Improvement
Breadth of Features
Ease of Customization
AWS Glue Reviews
Abhishek M.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Sep 2024
good ELT service on cloud
Likeliness to Recommend
What differentiates AWS Glue from other similar products?
integration with aws services
What is your favorite aspect of this product?
glue serverless, option to choose on-demand GPU,
What do you dislike most about this product?
have been getting this error, not enough IP address
What recommendations would you give to someone considering this product?
glue jobs are essentials for your data services
Pros
- Continually Improving Product
- Enables Productivity
- Caring
- Client Friendly Policies
Anil Kumar R.
- Role: Industry Specific Role
- Industry: Telecommunications
- Involvement: End User of Application
Submitted Jun 2024
Big use and big product
Likeliness to Recommend
What differentiates AWS Glue from other similar products?
Easy of use and large community of ecosystem and support
What is your favorite aspect of this product?
Different products available for etl environments spark jobs , python shells, notebooks, metadata catalog etc...
What do you dislike most about this product?
Slow while creating notebooks and excessive run makes high cost
What recommendations would you give to someone considering this product?
Easy to use for data engineers or non data engineer ETL / big data processing
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Aayushman S.
- Role: Information Technology
- Industry: Other
- Involvement: End User of Application
Submitted Apr 2026
Efficient Data Workflows Start with AWS Glue
Likeliness to Recommend
What differentiates AWS Glue from other similar products?
AWS Glue is fully serverless which means I don't have to manage any infrastructure, and it scales automatically with your workloads that's save my time. AWS Glue is it's tight intergation with the AWS ecosystem . It's works seamlessly with Amazon S3, Amazon Athena , Amazon Redshirt and other AWS services. That makes building end to end that advantages for me because data pipelines much smoother compared to tools that are more standalone or cloud agnostic .
What is your favorite aspect of this product?
AWS Glue makes buliding and managing data pipelines feel almost effortless that really I appreciate . It's also the automatic data keeps track of tables schemas, and metadata across multiple sources which saves my ton of time and when intergation data from different system that reduce errors.
What do you dislike most about this product?
I honestly say its some of pricing nuances are surprised to me and AWS Glue is incredibly powerful but it feels a bit opaque at times. Sinces it's fully serverless, I don't get direct to the underlying infrastructure which makes troubleshooting performance issue or inderu why a job ran slower than ecpected can be tricky. But it's gives me Brilliant performance which i thankful to AWS Glue.
What recommendations would you give to someone considering this product?
I recommendation, Start by clearly defining your data pipeline needs and understanding your data sources because Glue is extremely flexible and scalable but that flexibility can be overwhelming of you try to dive in without a plan and I also suggest leveraging Glue's visual ETL tools for smaller workflows while gradually incorporating custom Python or Scala scripts for more complex transformation because that balance helps my teams get value quickly without being bogged down in code from day one. One things my personal experience which I assume that you should keep in mind to pay attention to data cataloging and schema management early.
Pros
- Helps Innovate
- Continually Improving Product
- Trustworthy
- Fair
Cons
- Less Effective Service
