
AWS Glue simplifies ETL with its serverless architecture and tight integration with the AWS ecosystem. The built-in Data Catalog, schema discovery, and job automation features reduce operational overhead. It is highly scalable, cost-effective, and suitable for both batch and streaming workloads. Review collected by and hosted on G2.com.
One downside of AWS Glue is the job startup time, which can be slow for small workloads. Debugging Spark jobs is sometimes difficult, especially when logs are not very clear. Cost can increase if jobs are not optimized properly. Also, the UI can feel limited for complex transformations compared to full-scale Spark development Review collected by and hosted on G2.com.




