AWS

Amazon DocumentDB Elastic Clusters scales customers’ document workloads to support millions of writes per second and store petabytes of data

Amazon OpenSearch Serverless helps customers run search and analytics workloads without having to configure, scale, or manage underlying infrastructure

Amazon Athena for Apache Spark enables customers to get started with interactive analytics using Apache Spark in less than a second, instead of minutes

AWS Glue Data Quality cuts time for data analysis and rule identification from days to hours by automatically measuring, monitoring, and managing data quality in data lakes and across data pipelines

Amazon Redshift now supports a high availability configuration across multiple AWS Availability Zones

LAS VEGAS--(BUSINESS WIRE)-- At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced five new capabilities across its database and analytics portfolios that make it faster and easier for customers to manage and analyze data at petabyte scale. These new capabilities for Amazon DocumentDB (with MongoDB compatibility), Amazon OpenSearch Service, and Amazon Athena make it easier for customers to run high-performance database and analytics workloads at scale. Additionally, AWS announced a new capability for AWS Glue to automatically manage data quality across data lakes and data pipelines. Finally, Amazon Redshift now offers support for a high availability configuration across multiple AWS Availability Zones (AZs). Today’s announcement helps customers get the most out of their data on AWS by empowering them to access the right tools for their data workloads, operate at scale, and increase availability. To learn more about unlocking the value of data using AWS, visit aws.amazon.com/data.

“Data is inherently dynamic, and harnessing it to its full potential requires an end-to-end data strategy that can scale with a customer’s needs and accommodate all types of use cases—both now and in the future,” said Swami Sivasubramanian, vice president of Databases, Analytics, and Machine Learning at AWS. “To help customers make the most of their growing volume and variety of data, we are committed to offering the broadest and deepest set of database and analytics services. The new capabilities announced today build on this by making it even easier for customers to query, manage, and scale their data to make faster, data-driven decisions.”

Organizations today create and store petabytes—or even exabytes—of data from a growing number of sources (e.g., digital media, online transactions, and connected devices). To maximize the value of this data, customers need an end-to-end data strategy that provides access to the right tools for all data workloads and applications, along with the ability to perform reliably at scale as the volume and velocity of data increase. To support customers designing their own end-to-end data strategies, AWS offers the industry’s most comprehensive set of data services and solutions. This includes fully managed databases optimized for customers’ most important use cases, such as Amazon Aurora for relational databases and Amazon DocumentDB for document databases. It also includes a broad range of analytics services to help customers gain valuable insights from their data, including Amazon OpenSearch Service for search and analytics workloads (e.g., real-time application monitoring, log analytics, and website search), Amazon Athena for interactive analytics, AWS Glue for data integration, and Amazon Redshift for data warehousing. Today's announcement builds on these services with advanced capabilities.

Rippling brings together payroll, benefits, HR, IT, and more so their customers can manage employee operations in one place. “As our business continues to grow, we need the ability to scale beyond the limits of a single document database node,” said Nitin Aggarwal, data engineering lead at Rippling. “Amazon DocumentDB Elastic Clusters will help us solve this challenge by enabling us to quickly and easily scale to support millions of reads and writes per second and store petabytes of data. We are excited to explore Amazon DocumentDB Elastic Clusters as our business and customer demands grow.”

riskCanvas, a software as a service (SaaS) product offering from Genpact, is a financial crime compliance solution that leverages cutting-edge big data, automation, and machine learning technologies to deliver compliance, efficiency, and automation to its clients. “riskCanvas’ Entity-Centric Monitoring incorporates transaction monitoring, external enrichment, watchlist screening, and negative news to automatically assess risk and alert high-risk customers only as the true risk of a customer exceeds predefined thresholds, substantially reducing the effort to meet regulatory compliance requirements. This requires significant and varied analytic processing that often experiences spiky and unpredictable data load,” said Ryan Skousen, chief technology officer at riskCanvas and vice president of technology at Genpact Financial Crimes. “We are excited about Amazon OpenSearch Serverless, which will scale automatically to meet the data ingestion and analytic processing requirements of our workloads, and then scale back down as demand decreases to reduce costs drastically—all with no reengineering or maintenance impact.”

FINRA, a regulator for securities firms doing business with the public in the US, regulates trading in equities, bonds, and options. “At FINRA, we develop applications on Amazon Athena to enable analysts and business partners to securely query financial trading data with multiple terabytes in daily updates,” said Ratnakar Korem, senior director at FINRA. “We are excited about Amazon Athena for Apache Spark, which will bring the speed and ease of use we enjoy with Amazon Athena to our on-demand and batch analytics. This serverless feature will enable FINRA to conduct analytics against Big Data without the overhead of explicitly defining compute resources and tuning Apache Spark performance. This ultimately helps regulatory users and data analysts quickly respond to changing market dynamics and share results with others in a cost-effective and timely manner.”

United Airlines operates a large domestic and international route network, spanning cities large and small across the US and all six inhabited continents. “United Airlines is building hundreds of data- and analytics-driven tools for our customers and employees, which makes managing and maintaining data quality critical to our operations,” said Sarang Bapat, director of Data Engineering at United Airlines. “We are excited about AWS Glue Data Quality, which will enable us to automatically identify, analyze, and act on data-quality issues in amatter of minutes. This will help us make informed, timely, and accurate decisions and save countless hours in manually identifying and fixing all data issues.”

Janssen Pharmaceuticals, a subsidiary of Johnson & Johnson, researches and manufactures medicines with a focus on the changing needs of patients and the healthcare industry. “Janssen Pharmaceutical uses Amazon Redshift to enable critical insights that drive important business decisions for our data scientists, data stewards, business users, and external stakeholders,” said Shyam Mohapatra, director of Information Technology at Janssen Pharmaceutical Companies of Johnson & Johnson. “With Amazon Redshift Multi-AZ, we can be confident that our data warehouse will be available without any disruptions that might delay or impact our ability to make important business decisions.”

About Amazon Web Services

For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 96 Availability Zones within 30 geographic regions, with announced plans for 15 more Availability Zones and five more AWS Regions in Australia, Canada, Israel, New Zealand, and Thailand. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. For more information, visit amazon.com/about and follow @AmazonNews.

Source: Amazon.com, Inc.