AWS Storage Blog
Category: Amazon Simple Storage Service (S3)
How Pendulum achieves 6x faster processing and 40% cost reduction with Amazon S3 Tables
Pendulum is an AI-powered analytics platform that aggregates and analyzes real-time data from social media, news, and podcasts. Designed to help organizations stay ahead, it enables reputation monitoring, early crisis detection, and influencer activity tracking. Using machine learning (ML) enables Pendulum to surface key insights from multiple channels, providing a comprehensive view of the digital […]
Bringing more to the table: How Amazon S3 Tables rapidly delivered new capabilities in the first 5 months
Amazon S3 redefined data storage when it launched as the first generally available AWS service in 2006 to deliver highly reliable, durable, secure, low-latency storage with virtually unlimited scale. While designed to deliver simple storage, S3 has proven to be built to handle the explosive growth of data we have seen in the last 19 […]
How FICO modernizes file transfers with ETL automation using AWS Transfer Family
FICO powers decisions that help people and businesses around the world prosper. Using FICO solutions, businesses in more than 80 countries do everything from protecting four billion payment cards from fraud, to improving financial inclusion, and increasing supply chain resiliency. As a global leader in credit scoring and analytics, FICO processes massive volumes of sensitive […]
Prime Video improved stream analytics performance with Amazon S3 Express One Zone
Amazon Prime Video provides a selection of original content and licensed movies and TV shows that you can stream or download as part of the Amazon Prime subscription. Prime Video’s telemetry platform serves as the backbone for monitoring playback performance, saving data snapshots for failure recovery, providing business analytics, and generating real-time insights across its […]
How Bridgewater maintains data consistency across Regions using Amazon S3 Replication
Bridgewater Associates is a global macro investment manager, with a core mission of understanding how the world’s markets and economies work by analyzing the drivers of markets and turning that understanding into high-quality portfolios and investment advice for their clients. The data that drives this economic research is stored in Bridgewater’s data lake, built on […]
Streamlining access to tabular datasets stored in Amazon S3 Tables with DuckDB
As businesses continue to rely on data-driven decision-making, there’s an increasing demand for tools that streamline and accelerate the process of data analysis. Efficiency and simplicity in application architecture can serve as a competitive edge when driving high-stakes decisions. Developers are seeking lightweight, flexible tools that seamlessly integrate with their existing application stack, specifically solutions […]
Seamless streaming to Amazon S3 Tables with StreamNative Ursa Engine
Organizations are modernizing data platforms to use generative AI by centralizing data from various sources and streaming real-time data into data lakes. A strong data foundation, such as scalable storage, reliable ingestion pipelines, and interoperable formats, is critical for businesses to discover, explore, and consume data. As organizations modernize their platforms, they often turn to […]
Connect Snowflake to S3 Tables using the SageMaker Lakehouse Iceberg REST endpoint
Organizations today seek data analytics solutions that provide maximum flexibility and accessibility. Customers need their data to be readily available using their preferred query engines, and break down barriers across different computing environments. At the same time, they want a single copy of data to be used across these solutions, to track lineage, be cost […]
Build a managed Apache Iceberg data lake using Starburst and Amazon S3 Tables
Managing large-scale data analytics across diverse data sources has long been a challenge for enterprises. Data teams often struggle with complex data lake configurations, performance bottlenecks, and the need to maintain consistent data governance while enabling broad access to analytics capabilities. Today, Starburst announces a powerful solution to these challenges by extending their Apache Iceberg […]
Build a data lake for streaming data with Amazon S3 Tables and Amazon Data Firehose
UPDATE (7/31/2025): Firehose can directly access S3 Tables in Glue Data Catalog without requiring resource links. Businesses are increasingly adopting real-time data processing to stay ahead of user expectations and market changes. Industries such as retail, finance, manufacturing, and smart cities are using streaming data for everything from optimizing supply chains to detecting fraud and […]


