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
Do You Manage Peer Insights at Amazon Web Services (AWS)?
Access Vendor Portal to update and manage your profile.
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
Top AWS Glue Alternatives
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.
Recommended Gartner Insights
This service may contain translations provided by Google. Google disclaims all warranties related to the translations, express or implied, including any warranties of accuracy, reliability, and any implied warranties of merchantability, fitness for a particular purpose and noninfringement. Gartner's use of this provider is for operational purposes and does not constitute an endorsement of its products or services.
