Qlik Cloud Support for Amazon Redshift Unlocks SAP and other Enterprise Data Sources for Cloud Data Analytics
Qlik has announced support for its newly launched Amazon Redshift Serverless cloud data warehouse with integrations to both Qlik Sense® cloud analytics and Qlik Data Integration. This development is particularly significant as it means Qlik Cloud can now communicate with any of the big four platforms (Amazon, Google, Microsoft, Snowflake).
As organisations look to activate key enterprise data sources such as SAP and Mainframe for cloud analytics at scale across the business, customers know they can leverage Qlik’s solutions alongside Amazon Redshift Serverless to deliver relevant and timely data to business users when it matters most for decision making.
“Qlik has a long history of supporting Amazon Redshift customers since its debut ten years ago.
Combining Amazon Redshift Serverless with Qlik Data Integration ensures joint customers have the relevant and timely data they need from key sources like SAP and Mainframe for analysis on-demand through the cloud, while also benefiting from the ability to scale analytics through the cloud with Qlik Sense to any team across the organization when they are making decisions.”Itamar Ankorion, SVP Technology Alliances at Qlik
The support for Amazon Redshift Serverless is the latest milestone in Qlik’s continued work with AWS centered around maximising the value of enterprise data for cloud analytics. Last year, Qlik launched a collaborative solution with AWS to help enterprises drive more value from their SAP data by leveraging Qlik Data Integration to deliver real-time, analytics-ready data from their SAP systems into AWS. This solution leverages Qlik’s deep expertise in accessing and transforming SAP data for analysis, using best in class cloud data warehousing, data lakes and machine learning initiatives.
“Customers love Amazon Redshift’s best-in-class price performance and rich SQL feature set including new capabilities such as semi-structured data, machine learning, and data sharing. As data volumes and the needs to get insights from data increase, customers want to make Redshift even more widely available to users in their organizations who aren’t data warehouse experts.
With Redshift Serverless, customers get everything they love about Redshift together with ease of operations. The simplicity and automated scaling capabilities along with the pay-as-you-go model makes Amazon Redshift easier and more cost-effective choice for these dynamic business environments.”Yan Leshinsky VP Amazon Redshift
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