Overview
Product Information on AWS Glue
What is AWS Glue?
AWS Glue Pricing
Overall experience with AWS Glue
“AWS Glue Streamlines Data Integration but Faces Debugging and Startup Time Challenges”
“Strong Data Management Features in AWS Glue Balanced By Log and Budget Uncertainty”
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
User Sentiment About AWS Glue
Reviewer Insights for: AWS Glue
Deciding Factors: AWS Glue Vs. Market Average
Performance of AWS Glue Across Market Features
AWS Glue Likes & Dislikes
I like AWS Glue because it is fully serverless. ELT service that eliminates the need to manage infrastructure while automatically scaling with data volume. It integrates seamlessly with AWS services such as S3, Athena, Redshift, and Snap Lake Formation and Glue, simplifies data transformation using Pyspark and spark SQL and its data catalog and crawlers make schema discovery and metadata management easy.
I like the serverless model, which removes the need to manage infrastructure. It scales well for large data jobs. integration with AWS data stack is strong. The data catalog is also useful for managing schemas and metadata.
Glue is quite robust and has a correct user interface. It connects out of the box to other ETL AWS Services and allows good monitoring of ETL processes. The error handling is also mostly correct.
AWS glue can be difficult to debug due to verbose spark logs and limited error visibility. Job startup times are slow because of cold starts, managing dependencies and spark versions can be complex and cost may inefficient DPU allocations. It is not suited for low-latency or real-time processing use cases.
Job debugging is difficult when failure occurs, logs are not always clear. Costs can rise without clear signals.
The interface seems outdated (which is usual in this type of vendor products, but still). Error catching may take minutes because of so many menus that I should open before seeing what's wrong. It's also not a very visual tool, with only devs who know programming languages going into to see the errors - other popular tools might propose a better visual interface to check where the problem occurred.
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Peer Discussions
AWS Glue Reviews and Ratings
- 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 Analyst50M-1B USDSoftwareReview Source
AWS Glue Handles ETL Load Well Yet Lacks Intuitive Visual Error Reporting
AWS Glue is a great tool that is used a lot in our ETL processes. It functions well under high workloads and seamlessly integrates into the AWS environment, making it a natural choice for any team using AWS and their data architecture on it. - Engineer50M-1B USDEnergy and UtilitiesReview Source
AWS Glue Offers Seamless ETL Integration But Faces Cold Start and Debug Challenges
We've had a reasonably great experience using AWS Glue for various ETL jobs. Its severless capabilities fall right in line with what our team is comfortable with, and as with most AWS products, the native integrations make connective services a breeze. Cold-start times can be a drag at times and debugging can be a little painful, but you can't ignore the power of this tool. - ANALYTICS & BUSINESS INTELLIGENCE DIRECT1B-10B USDBankingReview Source
Serverless Data Integration Offers Scalability But Requires Advanced Engineering Skills
Strong serverless data integration that scales well. Good for ETL, cataloguing and orchestration but requires engineering skills to get the most out of it. Overall a positive experience. - SOFTWARE DEVELOPER<50M USDSoftwareReview Source
Scalability and Serverless Structure Stand Out in AWS Glue Experience
My personal experience with AWS Glue has been great because of the scalability that AWS offers to handle even very large datasets.