Overview
Product Information on AWS Glue
What is AWS Glue?
AWS Glue Pricing
Overall experience with AWS Glue
“Efficient large-scale data processing, but mastering optimization is challenging”
“Integrating serverless data into AWS facilitates synergies but requires extra resources”
About Company
Company Description
Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.
Company Details
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Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
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Peer Discussions
AWS Glue Reviews and Ratings
- Data Analyst1B-10B USDFinance (non-banking)Review Source
Efficient large-scale data processing, but mastering optimization is challenging
Overall. My experience with AWS Glue has been very positive. It is a feature-rich, serverless data integration platform that simplifies building and managing ETL pipelines at scale. The platform is particularly strong in metadata management, data transformation and seamless integration with AWS native services. AWS Glue stands out due to its wide range of connectors, automated schema delivery, and flexible transformation capabilities using spark. While it requires some expertise to fully leverage advanced features like optimization and data modelling, it provides a comprehensive and scalable solution for modern data engineering use cases. - Audit Manager50M-1B USDSoftwareReview Source
Powerful for batch ETL at scale, but with a learning curve and costs to consider
AWS Glue has been a fundamental tool for our data integration and transformation pipelines. The ability to run serverless ETL jobs without managing infrastructure significantly reduces operational overhead. Its integration with S3, Redshift, and the Glue Data Catalog makes it a solid choice for data architectures on AWS. - Accounts Assistant<50M USDInsurance (except health)Review Source
AWS Glue Streamlines Data Integration but Faces Debugging and Startup Time Challenges
AWS has worked well for buliding scalable data integration pipelines on AWS. My overall experience is positive and it's easy to use. It's a great tool for production-grade data engineering. - DATA ANALYST<50M USDManufacturingReview Source
Glue's RDS integration was easy to implement and operate, and was efficient.
Glue was extremely useful for integrating data from RDS. It can handle large amounts of data, and the process from setup to operation was smooth. - Senior It Sysadmin50M-1B USDTravel and HospitalityReview Source
Serverless AWS Glue Enhances Data Cataloging Yet Faces Job Latency And Expense Issues
Our experience with AWS Glue has been overall positive, as it fits perfectly into our AWS-native data architecture. Being serverless, it allows our team to focus on data engineering rather than managing Spark clusters.



