AWS Glue Pricing & Plans 2026

Name: AWS Glue
Brand: AWS Glue
Availability: InStock

Complete pricing guide for AWS Glue. Compare all plans, analyze costs, and find the perfect tier for your needs.

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether AWS Glue is worth it →

🆓Free Tier Available

💎4 Paid Plans

⚡No Setup Fees

Choose Your Plan

Data Catalog Free Tier

Free

Start Free →

Glue ETL Jobs

From $0.44/DPU-hour

Start Free Trial →

Glue DataBrew

$1.00 per node-hour

Start Free Trial →

Glue Data Catalog (beyond free tier)

$1.00 per 100,000 objects/month

Start Free Trial →

Glue Crawlers

$0.44/DPU-hour

Start Free Trial →

Pricing sourced from AWS Glue · Last verified March 2026

Feature Comparison

Detailed feature comparison coming soon. Visit AWS Glue's website for complete plan details.

View Full Features →

Is AWS Glue Worth It?

✅ Why Choose AWS Glue

• Fully serverless with no infrastructure to provision, patch, or scale manually
• Deep native integration with the AWS ecosystem (S3, Redshift, Athena, Lake Formation)
• Always-free Data Catalog tier lowers the barrier for metadata management
• Glue 4.0 significantly improved cold start times (up to 2.7x faster) and performance
• Supports both batch and streaming ETL in a single service
• DataBrew enables non-technical users to participate in data preparation

⚠️ Consider This

• Cold start latency for Spark jobs can reach several minutes, making it unsuitable for low-latency or interactive workloads
• Debugging Spark-based jobs can be complex—error messages are often opaque and require Spark expertise
• VPC networking configuration for accessing private data sources adds operational complexity
• Per-DPU-hour pricing can become expensive for long-running or always-on pipelines compared to reserved EMR clusters
• Limited language support—primarily PySpark and Scala, with Ray support still maturing

What Users Say About AWS Glue

👍 What Users Love

✓Fully serverless with no infrastructure to provision, patch, or scale manually
✓Deep native integration with the AWS ecosystem (S3, Redshift, Athena, Lake Formation)
✓Always-free Data Catalog tier lowers the barrier for metadata management
✓Glue 4.0 significantly improved cold start times (up to 2.7x faster) and performance
✓Supports both batch and streaming ETL in a single service
✓DataBrew enables non-technical users to participate in data preparation
✓Auto-scaling adjusts DPUs dynamically to match workload, reducing over-provisioning

👎 Common Concerns

⚠Cold start latency for Spark jobs can reach several minutes, making it unsuitable for low-latency or interactive workloads
⚠Debugging Spark-based jobs can be complex—error messages are often opaque and require Spark expertise
⚠VPC networking configuration for accessing private data sources adds operational complexity
⚠Per-DPU-hour pricing can become expensive for long-running or always-on pipelines compared to reserved EMR clusters
⚠Limited language support—primarily PySpark and Scala, with Ray support still maturing
⚠Job orchestration capabilities are basic compared to dedicated tools like Apache Airflow or Step Functions
⚠Vendor lock-in to AWS; migrating Glue-dependent pipelines to another cloud requires significant rework

Pricing FAQ

How much does AWS Glue cost?

AWS Glue offers multiple pricing tiers to suit different needs and budgets. They provide a free tier to get started, with paid plans offering additional features and higher usage limits. Check the current pricing page for the most up-to-date costs and features.

Does AWS Glue have a free plan?

Yes, AWS Glue offers a free plan that includes basic features. This allows you to test the platform and see if it meets your needs before upgrading to a paid plan with more advanced features.

What's included in each AWS Glue pricing plan?

Each AWS Glue pricing plan includes different feature sets, usage limits, and support levels. Higher-tier plans typically offer more advanced features, higher usage quotas, priority support, and additional integrations. Review the detailed comparison on their pricing page.

Can I change my AWS Glue plan later?

Most SaaS tools including AWS Glue allow you to upgrade or downgrade your plan as your needs change. Some changes take effect immediately, while others might apply at your next billing cycle. Check their billing settings or contact support for specific policies.

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Review Alternatives Free vs Paid Pros & Cons Worth It?Tutorial

AWS Glue Pricing & Plans 2026

Complete pricing guide for AWS Glue. Compare all plans, analyze costs, and find the perfect tier for your needs.

🆓Free Tier Available

💎4 Paid Plans

⚡No Setup Fees

Choose Your Plan

Data Catalog Free Tier

Free

Start Free →

Glue ETL Jobs

From $0.44/DPU-hour

Start Free Trial →

Glue DataBrew

$1.00 per node-hour

Start Free Trial →

Glue Data Catalog (beyond free tier)

$1.00 per 100,000 objects/month

Start Free Trial →

Glue Crawlers

$0.44/DPU-hour

Start Free Trial →

Pricing sourced from AWS Glue · Last verified March 2026

Is AWS Glue Worth It?

✅ Why Choose AWS Glue

• Fully serverless with no infrastructure to provision, patch, or scale manually
• Deep native integration with the AWS ecosystem (S3, Redshift, Athena, Lake Formation)
• Always-free Data Catalog tier lowers the barrier for metadata management
• Glue 4.0 significantly improved cold start times (up to 2.7x faster) and performance
• Supports both batch and streaming ETL in a single service
• DataBrew enables non-technical users to participate in data preparation

⚠️ Consider This

• Cold start latency for Spark jobs can reach several minutes, making it unsuitable for low-latency or interactive workloads
• Debugging Spark-based jobs can be complex—error messages are often opaque and require Spark expertise
• VPC networking configuration for accessing private data sources adds operational complexity
• Per-DPU-hour pricing can become expensive for long-running or always-on pipelines compared to reserved EMR clusters
• Limited language support—primarily PySpark and Scala, with Ray support still maturing

What Users Say About AWS Glue

👍 What Users Love

✓Fully serverless with no infrastructure to provision, patch, or scale manually
✓Deep native integration with the AWS ecosystem (S3, Redshift, Athena, Lake Formation)
✓Always-free Data Catalog tier lowers the barrier for metadata management
✓Glue 4.0 significantly improved cold start times (up to 2.7x faster) and performance
✓Supports both batch and streaming ETL in a single service
✓DataBrew enables non-technical users to participate in data preparation
✓Auto-scaling adjusts DPUs dynamically to match workload, reducing over-provisioning

👎 Common Concerns

⚠Cold start latency for Spark jobs can reach several minutes, making it unsuitable for low-latency or interactive workloads
⚠Debugging Spark-based jobs can be complex—error messages are often opaque and require Spark expertise
⚠VPC networking configuration for accessing private data sources adds operational complexity
⚠Per-DPU-hour pricing can become expensive for long-running or always-on pipelines compared to reserved EMR clusters
⚠Limited language support—primarily PySpark and Scala, with Ray support still maturing
⚠Job orchestration capabilities are basic compared to dedicated tools like Apache Airflow or Step Functions
⚠Vendor lock-in to AWS; migrating Glue-dependent pipelines to another cloud requires significant rework

Pricing FAQ

How much does AWS Glue cost?

Does AWS Glue have a free plan?

Yes, AWS Glue offers a free plan that includes basic features. This allows you to test the platform and see if it meets your needs before upgrading to a paid plan with more advanced features.