New Amazon S3 Tables: Storage optimized for analytics workloads

Amazon S3 Tables optimize tabular data storage (like transactions and sensor readings) in Apache Iceberg, enabling high-performance, low-cost queries using Athena, EMR, and Spark.

Introducing queryable object metadata for Amazon S3 buckets (preview)

Unlock S3 data insights effortlessly with AWS’ rich metadata capture; query objects by key, size, tags, and more using Athena, Redshift, and Spark at scale.

Simplify analytics and AI/ML with new Amazon SageMaker Lakehouse

Unifying data silos, Amazon SageMaker Lakehouse seamlessly integrates S3 data lakes and Redshift warehouses, enabling unified analytics and AI/ML on a single data copy through open Apache Iceberg APIs and fine-grained access controls.

Amazon SageMaker Lakehouse and Amazon Redshift supports zero-ETL integrations from applications

Simplify data replication and ingestion from applications such as Salesforce, SAP, ServiceNow, and Zendesk, to Amazon SageMaker Lakehouse and Amazon Redshift.

Announcing AWS Transfer Family web apps for fully managed Amazon S3 file transfers

AWS Transfer Family web apps are a new resource that you can use to create a simple interface for authorized line-of-business users to access data in Amazon S3 through a customizable web browser.

Introducing default data integrity protections for new objects in Amazon S3

Amazon S3 updates the default behavior of object upload requests with new data integrity protections that build upon S3’s existing durability posture.

Connect users to data through your apps with Storage Browser for Amazon S3

Storage Browser for Amazon S3 is an open source interface component that you can add to your web applications to provide your authorized end users, such as customers, partners, and employees, with access to easily browse, upload, download, copy, and delete data in S3.

New APIs in Amazon Bedrock to enhance RAG applications, now available

With custom connectors and reranking models, you can enhance RAG applications by enabling direct ingestion to knowledge bases without requiring a full sync, and improving response relevance through advanced re-ranking models.

Amazon FSx for Lustre increases throughput to GPU instances by up to 12x

Amazon FSx for Lustre now features Elastic Fabric Adapter and NVIDIA GPUDirect Storage for up to 12x higher throughput to GPUs, unlocking new possibilities in deep learning, autonomous vehicles, and HPC workloads.

Amazon FSx for Lustre increases throughput to GPU instances by up to 15x

Amazon FSx for Lustre now features Elastic Fabric Adapter and NVIDIA GPUDirect Storage for up to 15x higher throughput to GPUs, unlocking new possibilities in deep learning, autonomous vehicles, and HPC workloads.