AWS Unveils Amazon Redshift Serverless for Data Warehousing
Amazon Web Services (AWS) has announced the general availability of Amazon Redshift Serverless, offering a new serverless option for businesses to analyze data without having to configure, scale, or manage the underlying infrastructure.
Amazon Redshift Serverless
Amazon Redshift is a fully managed cloud data warehouse service offered by AWS that was originally built using the open-source PostgreSQL relational database management system.
Designed to deliver extremely high performance for complex analytical queries, Amazon Redshift can scale into the petabytes to offer a simple and cost-effective way for data scientists to analyze data.
Serverless computing is a paradigm where computing services are offered on an as-used basis, charged based on the volume of usage. Usage scales automatically with no need to reserve or allocate the backend infrastructure in advance. The new offering allows Amazon Redshift to be used as part of a serverless workflow.
According to AWS, customers currently managing their own Amazon Redshift clusters can opt to move them to the new serverless option using the Amazon Redshift console or API without making changes to their applications.
“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 Sivasubramanian, vice president of database, analytics, and machine learning at AWS.
“With these new serverless options, customers can run even the most variable and intermittent analytics workloads and expand the use of analytics throughout their organizations without worrying about provisioning or scaling capacity – or incurring excess cost.”
Amazon Redshift Serverless is generally available in most regions around the world, including in the Asia Pacific regions of Singapore, Sydney, Seoul, and Tokyo. More regions are coming soon.
In a separate release, business analytics leader Qlik also announced support for Amazon Redshift Serverless with integrations to both its Qlik Sense cloud analytics and Qlik Data Integration offerings.
According to Itamar Ankorion, the senior vice president of Technology Alliances at Qlik, combining Amazon Redshift Serverless with Qlik Data Integration allows joint customers to access the data they need from key sources like SAP and their mainframes for on-demand analysis while benefitting from the ability to scale through the cloud.
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