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AWS Glue 6.0 now available with 30% lower price and full Apache Iceberg v3 support
AWS has released AWS Glue 6.0, which introduces a 30% price reduction and full support for Apache Iceberg v3. The version is built on Apache Spark 4.1, Python 3.12, and Scala 2.13.
Why it matters
Data engineers can lower their operational costs while processing semi-structured, geospatial, or high-frequency financial data more efficiently. This reduces the need for manual schema flattening and enables faster real-time event processing.
The details
- The VARIANT data type improves read performance for JSON and log data.
- Real-time streaming mode now achieves single-digit millisecond latency.
- New capabilities include nanosecond-precision timestamps and native spatial processing for GIS analytics.
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Key connections
AWS owns AWS Glue Studio
AWS provides AWS Glue Studio as a graphical ETL interface.
AWS provides the AWS SDK for programmatic service management.
AWS owns AWS Glue Data Catalog
AWS operates the AWS Glue Data Catalog metadata repository.
AWS owns AWS MCP Server
AWS provides the AWS MCP Server to connect AI tools to AWS services.
AWS Glue uses Apache Iceberg
AWS Glue 6.0 delivers complete support for Apache Iceberg v3 features.
AWS Glue is built with Apache Spark
AWS Glue 6.0 is built on an Apache Spark 4.1 runtime engine.
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AWS Glue 6.0 runtime is built on Python 3.12 and supports Arrow-native Python UDFs and UDTFs.
AWS Glue 6.0 runtime is built on Scala 2.13.
AWS Glue uses Extract, Transform, Load (ETL)
AWS Glue processes and executes extract, transform, and load (ETL) data pipelines.
AWS Glue uses Serverless Computing
AWS Glue operates as a fully serverless managed Spark service.
AWS Glue Studio uses AWS Glue
AWS Glue Studio provides a visual console and notebook interface for managing and running AWS Glue jobs.
Amazon SageMaker Unified Studio uses AWS Glue
Amazon SageMaker Unified Studio can configure and run AWS Glue jobs.
AWS CLI provides command-line APIs to create and update AWS Glue jobs.
AWS SDK provides programmatic interfaces to create and update AWS Glue jobs.
AWS Glue uses AWS Glue Data Catalog
AWS Glue uses the AWS Glue Data Catalog as a centralized metadata repository for storing dataset definitions.
AWS Glue uses Jupyter Notebook
AWS Glue interactive sessions can run within Jupyter notebooks using magic commands.
AWS MCP Server is related to AWS Glue
AWS MCP Server allows AI tools to call APIs, search documentation, and troubleshoot AWS Glue features.
Related events
AWS Announces General Availability of AWS Glue 6.0 with 30% Lower Pricing and Apache Iceberg v3 Support
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