Vetted Score
4.6
/ 5.0
AWS Glue earns a 4.6/5 for its seamless serverless architecture, deep integration with AWS data services, and robust scaling, though pricing complexity can be a hurdle for smaller teams.
Key Features
Serverless ETL
Automatically provisions and scales compute resources, eliminating infrastructure management.
Integrated Data Catalog
Centralized metadata repository that discovers, catalogs, and tracks data across AWS services.
Rich Transformations
Supports Spark‑based transformations with Python, Scala, and SQL, plus built‑in and custom scripts.
Frequently Asked Questions
AWS Glue uses a pay‑as‑you‑go model based on Data Processing Units (DPUs) per hour for ETL jobs, plus separate fees for crawlers and the Data Catalog.
No, Glue is fully serverless; it automatically provisions, scales, and terminates compute resources as needed.
Glue supports Python (PySpark), Scala, and SQL for writing ETL scripts, and also provides visual ETL via Glue Studio.
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Specifications
Pricing Model
Pay‑as‑you‑go pricing based on Data Processing Units (DPUs) per hour, with additional charges for crawlers and Data Catalog storage.
Supported Platforms
AWS Management ConsoleAWS CLIAWS SDKs (Python, Java, Scala)