Category: HAQM Simple Storage Service (S3)

HAQM S3 Express One Zone announces significant price reductions, including reducing pricing for storage by 31%, PUTs by 55%, and GETS by 85%. In addition, S3 Express One Zone has reduced its per-gigabyte data upload and retrieval charges by 60% and now applies these charges to all bytes rather than just portions of requests exceeding 512 kilobytes.

Thanks to everyone who joined us for the fifth annual AWS Pi Day on March 14. Since its inception in 2021, commemorating the HAQM Simple Storage Service (HAQM S3) 15th anniversary, AWS Pi Day has grown into a flagship event highlighting the transformative power of cloud technologies in data management, analytics, and AI. This year’s […]

AWS Pi Day, an annual event commemorating the launch of HAQM S3 in 2006, has evolved from celebrating cloud storage milestones to showcasing cutting-edge developments in data management, analytics, and AI. In 2025, we’re focused on unified data foundation for analytics and AI through new capabilities like S3 Tables, SageMaker Unified Studio, and HAQM Bedrock IDE.

HAQM S3 Tables integration with SageMaker Lakehouse enables unified access to S3 Tables data from AWS analytics engines like HAQM Athena, Redshift, EMR, and third-party query engines, to build securely and manage centrally.

Last week, I had an amazing time attending AWS Community Day Thailand in Bangkok. This event came at an exciting time, following the recent launch of the AWS Asia Pacific (Bangkok) Region. We had over 300 attendees and featured 15 speakers from the community, including an AWS Hero and 4 AWS Community Builders who shared […]

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

Unifying data silos, HAQM 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.

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.