SAS Partners Up With Singlestore To Deliver Assist Enterprises

CIO Applications| Friday, September 02, 2022

Through SingleStore's data compression and SAS' analytical performance, the firms intend to reduce the complexity of data management and integration and the computational time required to train complicated models.

FREMONT, CA: "The economic costs of storage and infrastructure, as well as the complexity of data integration and manual processing, often obstruct today's technology leaders from making decisions quickly and effectively. By moving more intelligence capabilities closer to their data, organizations can greatly improve productivity and performance, reduce economic costs and accelerate data-driven decisions." says Carl Olofson, Research Vice President of Data Management Software at IDC.

SAS, one of the leaders in analytics, has partnered with SingleStore to assist enterprises in removing obstacles to data access, optimizing efficiency and scalability, and discovering crucial insights derived from data. SAS® Viya® with SingleStore enables the use of SAS analytics and AI technology on data stored in the cloud-native real-time database of SingleStore. The connection gives flexible, open access to curated data to expedite value delivery for cloud, hybrid, and on-premises deployments.

"For many organizations, repetitive data movement, manual processes and isolated data islands make it difficult to quickly derive value from analytics. SAS Viya with SingleStore delivers a game-changing set of capabilities that simplifies and accelerates the iterative data and analytics loops to improve speed-to-decision and unlock that critical value." says Bryan Harris, Chief Technology Officer at SAS.

SAS Viya with SingleStore allows advanced AI and machine learning analytics to be run directly against relational database tables in SingleStore. By giving customers this ability, SAS and SingleStore will significantly reduce their technical debt of duplicate data stores. It will help improve the performance of analytical workloads and, in the end, help them find key competitive advantages.



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