AWS Glue
Fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics.
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics. As part of the AWS ecosystem, Glue provides serverless data integration capabilities that automatically scale based on workload demands.
Launched in 2017, AWS Glue eliminates the need to provision and manage infrastructure for ETL jobs. It automatically discovers and catalogs metadata about your data sources, generates ETL code, and provides a visual interface for building data transformation workflows.
Serverless ETL
No infrastructure to manage, automatic scaling based on workload
Data Catalog
Centralized metadata repository with automatic schema discovery
Job Scheduling
Built-in scheduler for automating ETL workflows
Auto Scaling
Automatically scales resources up or down based on job requirements
- •Serverless architecture eliminates infrastructure management
- •Deep integration with AWS ecosystem
- •Automatic scaling based on workload demands
- •Pay-per-use pricing model
- •Built-in data catalog and schema discovery
- •AWS vendor lock-in with limited portability
- •Limited transformation capabilities compared to specialized ETL tools
- •Cold start latency for infrequent jobs
- •Debugging can be challenging in serverless environment
AWS-Centric Organizations
Companies heavily invested in AWS ecosystem
Serverless Preference
Teams wanting to avoid infrastructure management
Variable Workloads
Applications with unpredictable or sporadic ETL needs
Netflix Data Engineering
Media & Entertainment
"AWS Glue enables our content recommendation pipeline by processing viewing data and user preferences at scale across our global platform."
Source: aws.amazon.com