AWS Announces Five New Database and Analytics Capabilities
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.