AWS Glue

Build production-ready ETL jobs using natural language. Describe data integration requirements in plain English and AWS Glue generates complete, runnable job code for tasks like joining datasets, aggregating data, and loading into AWS services.

A capability for building agentic AI solutions that enables enterprises to develop multiple AI agents quickly. Cox Automotive built 17 agentic AI solutions in months using this service.

A family of lightweight AI models designed for cost-efficient inference, enabling organizations to reduce AI deployment costs while maintaining performance.

Generative AI assistant that enables building data integration pipelines using natural language. Describe your intent through a chat interface and it generates complete AWS Glue jobs that can be tested and deployed with a single click.

An AI assistant that connects to company data and integrates across work tools, enabling employees to access information and complete tasks without switching between disconnected applications.

Autonomous agent that identifies API changes and behavioral modifications across PySpark and Scala applications during Spark version upgrades. Analyzes existing code, suggests specific changes, and validates functional correctness through data quality validations. Supports upgrades from Spark 2.4 to 3.5.

AI-powered troubleshooting and diagnostics for AWS Glue jobs that accelerates debugging by providing expert-level guidance for connection, environment, syntax, validation, and execution errors.

AI-powered capability to automatically upgrade Spark jobs to newer versions and provide intelligent diagnostics for troubleshooting errors. Reduces debugging time from days to minutes by automating code modernization tasks.

Automatically analyzes and upgrades Spark jobs to newer versions while maintaining functionality. Handles identification and updating of scripts, configurations, and dependencies to reduce upgrade projects from months to days.

AI-powered troubleshooting capability that analyzes job metadata, execution logs, and configurations to provide root cause analysis and actionable recommendations for Spark job issues, reducing debugging time from days to minutes.

Analyze Spark job failures using AI-powered diagnostics. AWS Glue examines job metadata, execution logs, and configurations to provide root cause analysis and actionable recommendations, reducing debugging time from days to minutes.