Reduce your Amazon Glue
costs with these tips

These proven tips can save you up to 30% on AWS costs!

* Savings are averaged out across customers & services

AWS Glue cost saving tips Optimize your AWS Glue costs with these tips


Use Glue Flex Jobs

Flex jobs can decrease costs for non-urgent ETL workloads. You can save up to 35% compared to standard Glue jobs, it's great for pre-production, testing, and data loads.


Use Glue Auto Scaling

With AWS Glue Auto Scaling, you can dynamically adjust resources based on job requirements. This ensures you only pay for necessary resources and prevent overprovisioning.


Optimize Glue Jobs

Reduce runtime by optimizing job configurations and scripts. Setting job timeouts, using smaller worker types, upgrading Glue versions, and checking logs can help identify optimization opportunities.

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“We found that our AWS costs were spiraling out of control. Following ElasticScale their advice we were able to save 60% on costs without compromising performance!”

John Schrijvers
John Schrijvers
CEO of Dataswitcher

Other AWS cost saving tips We also have tips for the following AWS services

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About AWS Glue Service information & pricing

About AWS Glue

AWS Glue is a data integration service, perfect for analytics, machine learning, and app development. It auto-detects schemas, manages streaming data, and scales accordingly. It uses machine learning for data cleansing, deduplication, and offers code-free interfaces for data handling. It helps developers in creating visual transforms, shaping complex ETL pipelines, and supports Git integration.

↗ More information on AWS website

AWS Glue pricing

AWS Glue charges hourly for crawlers and ETL jobs, billed per second. Users pay a monthly fee for AWS Glue Data Catalog's storage and metadata access; first one million operations are free. Development endpoints for ETL code have an hourly rate. DataBrew sessions and jobs are billed per session and minute respectively. Using the Schema Registry is free. Prices vary by region.

↗ More information on AWS website

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