AWS Glue
Reviews
Star rating
Rank in Machine Learning Data Catalog
Pros and cons
Pros
- Ease of Use
- Data Integration
- Features
- ETL Solutions
- Data Lineage
- Data Cataloging
Cons
- Slow Performance
- Time-Consuming
- Debugging Difficulty
- Performance Issues
- Difficult Debugging
- Steep Learning Curve
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 22.9% |
| Mid-Market | 28.4% |
| Enterprise | 48.8% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2024 Q4 | 4 | 4.8 |
| 2025 Q1 | 1 | 5.0 |
| 2025 Q4 | 1 | 4.0 |
| 2026 Q1 | 4 | 4.6 |
| 2026 Q2 | 3 | 4.3 |
Satisfaction ratings
What reviewers say
Serverless ETL Made Easy with AWS Glue
“The best thing I like about AWS Glue is that it provides serverless ETL capabilities without having to manage infrastructure. AWS Glue also supports schema enforcement through the Glue Data Catalog. It’s easy to integrate with S3 and Athena seamlessly. It also supports PySpark fo”
Cloud native, Serverless, Scalable, and Easy Setup for Python ETL
“Serverless service. Scalable (based on number of workers). Easy setup. Can start with simple Python script. Abstracts away some of the complexities of PySpark.”
AWS Glue’s Catalog and Crawlers Make Full and Incremental Loads Easy
“The catalog and the crawling services that Glue has make it very easy to design both full and incremental loads. it is very easy and everything can be done from the AWS Glue UI screen itself, thats the best part.”