Data Integration & Engineering software

AWS Glue

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01 / Overview

What is AWS Glue?

AWS Glue is a managed data integration service for discovering, preparing and processing data. Its offering includes job execution, a Data Catalog and related integration and quality capabilities. Those capabilities have separate usage dimensions, and storage or downstream analytics services retain their own charges.

Who is AWS Glue for?

Data teams building integration and transformation workflows around AWS data services.

02 / Capabilities

AWS Glue features

The core capabilities to consider for your workflow.

  • Managed data integration jobs
  • Data Catalog and schema discovery
  • Visual and coded pipeline development
  • Data quality and AWS service integration
03 / Plans & costs

AWS Glue pricing

Plan availability

Metered service; limited catalog allowances

Map the chosen jobs and features to their current processing and usage units, including applicable DPU time. Include storage, transfer, catalog activity and downstream services.

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Free access & evaluation

Some Data Catalog usage has free allowances. They are distinct from paid processing and other metered capabilities.

04 / Buying checklist

Before you choose AWS Glue

  • Choose the exact job engine, worker arrangement and connectors.

  • Catalog allowances do not make ETL compute, data quality or connected services free.

05 / Guides & insights

Explore AWS Glue in more detail

Take a closer look at the decisions behind this product.

AWS Glue vs Azure Data Factory: pipelines, runtimes and cost

Read the article
06 / Comparisons

Compare AWS Glue

Explore the individual profiles

07 / Questions answered

AWS Glue FAQs

Does AWS Glue have a free plan?

Some Data Catalog usage has free allowances. They are distinct from paid processing and other metered capabilities.

Who is AWS Glue for?

Data teams building integration and transformation workflows around AWS data services.

What should I compare before buying?

Check the tier that contains your essential features, confirm plan limits and compare the total quote with your own expected usage.