AWS Glue
AWS Glue is a serverless data integration service for discovering, preparing, and combining data for analytics, machine learning, and application development.
What is Glue? (Simple Explanation)
Think of Glue like a robot that automatically organizes messy data. It discovers what data you have, cleans it up, and moves it where it needs to go — all on a schedule you set.
When Would You Use Glue?
- ETL and ELT pipeline automation
- Data catalog and discovery
- Data lake preparation
- Schema inference and evolution
- Job orchestration
Who Uses Glue?
From startups to enterprises, Glue powers:
What Makes Glue Powerful
Glue Pricing & Free Tier
Athena: $5/TB scanned. Glue: $0.44/DPU-hour. EMR: from $0.048/vCPU-hour. OpenSearch: from ~$0.028/hour.
Glue Best Practices
- 1Use Athena workgroups to separate query history and control costs per team
- 2Enable Glue Data Catalog encryption and resource-level IAM policies
- 3Use partition projection in Athena instead of MSCK REPAIR TABLE for faster queries
- 4Set query result location to an S3 bucket with lifecycle expiration (7 days)
- 5Monitor with CloudWatch — set alarms on query scan volume to avoid cost surprises
Getting Started with Glue in 5 Minutes
- 1Open the AWS Console and navigate to Glue
- 2Click "Create" or "Get started" to begin configuration
- 3Configure the required settings — name, region, and access permissions
- 4Review and create — monitor the initial status in CloudWatch
Glue CLI Quick Reference
2 production-ready commands. Full CLI Library (225+ services) →
aws glue get-databases --query 'DatabaseList[*].{Name:Name,Location:LocationUri}' --output tableList all Glue databases and their S3 locationsaws glue start-crawler --name my-crawlerRun a Glue crawler to discover schema from S3Pros & Cons of Glue
Pros
- Glue Data Catalog as central metadata repository
- Automatic schema inference with Crawlers
- Visual ETL editor with drag-and-drop transforms
- Spark and Python shell job support
- Glue Studio for interactive job authoring
Cons
- ✕Per-TB pricing (Athena) penalizes ad-hoc exploration of large datasets
- ✕Real-time analytics can get expensive — Kinesis shard costs scale linearly
- ✕Cold start latency on serverless analytics (Athena, EMR Serverless) may not suit sub-second dashboards
Glue vs Alternatives
Glue vs S3
Choose Glue for ETL and ELT pipeline automation and Data catalog and discovery. It excels at glue data catalog as central metadata repository.
Choose S3 as an alternative when your requirements differ. Each service in the Analytics category serves different architectural patterns.
Services That Work with Glue
Glue is rarely used alone. It is typically combined with:
Compliance & Security
How AWS Glue fits into major compliance standards. Browse all 41 frameworks →
Glue configuration is audited by CIS Benchmarks v1.5–v3.0 for secure cloud defaults.
NIST 800-53Glue access controls, encryption, and audit logging map to NIST 800-53 AC, SC, and AU control families.
PCI DSS 4.0Glue encryption, access control, and logging support PCI DSS for cardholder data environments.
SOC 2Glue security, availability, and confidentiality controls evaluated under SOC 2 Trust Services Criteria.
ISO 27001Glue configuration and monitoring controls map to ISO 27001 Annex A information security management.
Frequently Asked Questions About Glue
What is AWS Glue?
AWS Glue is a serverless data integration service for discovering, preparing, and combining data for analytics, machine learning, and application development.
What is Glue used for?
Glue is commonly used for: ETL and ELT pipeline automation; Data catalog and discovery; Data lake preparation; Schema inference and evolution; Job orchestration. It's a core service in the analytics category of AWS.
Is Glue free?
Athena: $5/TB scanned. Glue: $0.44/DPU-hour. EMR: from $0.048/vCPU-hour. OpenSearch: from ~$0.028/hour.
What are the key features of Glue?
Glue's most important capabilities include: Glue Data Catalog as central metadata repository. Automatic schema inference with Crawlers. Visual ETL editor with drag-and-drop transforms. Spark and Python shell job support. Glue Studio for interactive job authoring. Each of these is designed to help teams etl and elt pipeline automation.
How does Glue compare to alternatives?
Glue competes with both AWS-native alternatives (S3, Athena, Redshift) and third-party equivalents. The right choice depends on your specific requirements for scalability, cost, and operational overhead. See the comparisons section below for detailed guidance.
Which compliance frameworks apply to Glue?
CIS AWS v3.0: Glue configuration is audited by CIS Benchmarks v1.5–v3.0 for secure cloud defaults. NIST 800-53: Glue access controls, encryption, and audit logging map to NIST 800-53 AC, SC, and AU control families. PCI DSS 4.0: Glue encryption, access control, and logging support PCI DSS for cardholder data environments. SOC 2: Glue security, availability, and confidentiality controls evaluated under SOC 2 Trust Services Criteria. ISO 27001: Glue configuration and monitoring controls map to ISO 27001 Annex A information security management.
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