New serverless options for Amazon EMR, Amazon MSK, and Amazon Redshift help customers analyze vast amounts of data without having to configure, scale, or manage the underlying infrastructure
Informatica, NextGen Healthcare, and Huron among customers and partners using new serverless analytics options
SEATTLE–(BUSINESS WIRE)–Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced the general availability of three new serverless analytics offerings that make it even easier for customers to analyze vast amounts of data without having to configure, scale, or manage the underlying infrastructure. Today’s announcements include new serverless offerings for Amazon EMR to enable customers to run analytics applications using open-source big data frameworks (Apache Spark and Hive) without having to manage the underlying infrastructure, Amazon Managed Streaming for Apache Kafka (Amazon MSK) to simplify real-time data ingestion and streaming, and Amazon Redshift to allow customers to run high-performance data warehousing and analytics workloads on petabytes of data without having to manage clusters. Along with other serverless analytics offerings from AWS such as Amazon QuickSight for business intelligence and AWS Glue for data integration, the new offerings announced today make it significantly easier and more cost-effective for customers to modernize their infrastructure and analyze vast amounts of data without worrying about capacity planning or incurring excess costs by over-provisioning for peak demand. There are no upfront commitments or additional costs to use Amazon EMR Serverless, Amazon MSK Serverless, and Amazon Redshift Serverless, and customers only pay for the precise capacity needed for their analytics workloads.
“By offering the most serverless options for data analytics in the cloud—including options for data warehousing, big data processing, real-time data analysis, data integration, interactive dashboards and visualizations, and more—we are making it even easier for customers to maximize the value of their data to drive innovation, improve customer experiences, and make better decisions faster,” said Swami…