UPDATED 11:30 EDT / JULY 12 2022

CLOUD

Amazon Redshift Serverless now available alongside EMR and MSK Serverless big-data services

Amazon Web Services Inc. has today announced the general availability of its Redshift Serverless alongside EMR Serverless and MSK Serverless, services that are designed to make it easier for customers to analyze large amounts of data without having to configure, scale up or manage the underlying infrastructure.

Redshift Serverless offers a serverless data warehouse to tens of thousands of customers that collectively process more than 2 exabytes of data with Redshift daily. Redshift offers a fully managed, petabyte-scale data warehouse service for companies to store all of their data in one place and then analyze it quickly using Structured Query Language-based tools.

AWS claims Redshift offers up to three times better price performance than other enterprise cloud data warehouses, providing customers with faster data analytics at a lower cost. With the launch of Redshift Serverless into general availability, AWS says that it is now even easier to get insights from data quickly without the need to manage data warehouse infrastructure.

Existing Redshift customers can move their clusters to the new serverless option using the Redshift console or application programming interface without making changes to their applications.

With EMR Serverless, customers currently using EMR can also switch to a serverless data warehouse. EMR customers typically use the service to run open-source frameworks like Apache Spark and Hive for large-scale distributed data processing jobs, interactive SQL queries and machine learning applications.

Customers can use EMR Serverless to specify the framework they want to run and it provisions, manages and scales the necessary compute and memory resources as workload demands change. Users select an open-source framework and submit their jobs using the EMR API, the AWS Command Line Interface or an integrated development environment with EMR Studio.

MSK Serverless offers serverless data streaming for organizations adopting Apache Kafka to capture and analyze real-time data streams from “internet of things” devices, website clickstreams, database logs and other dynamic data sources. It also provisions, manages and scales up clusters automatically.

The three new services are now generally available in selected AWS regions in the U.S., Asia and Europe, with additional availability in other AWS regions coming soon.

Image: Amazon

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