SAS and SingleStore Deliver Next-Generation Data and Analytics Architecture

SAS Viya with SingleStore will simplify data access, improve productivity and expand analytical insights

CARY, NC (August 22, 2022) – Analytics leader SAS has joined forces with SingleStore to help organizations remove barriers to data access, maximize performance and scalability, and uncover key data-driven insights. SAS® Viya® with SingleStore enables the use of SAS analytics and AI technology on data stored in SingleStore’s cloud-native real-time database. The integration provides flexible, open access to curated data to help accelerate value for cloud, hybrid and on-premises deployments.

“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,” said Carl Olofson, Research Vice President of Data Management Software at IDC. “By moving more intelligence capabilities closer to their data, organizations can greatly improve productivity and performance, reduce economic costs and accelerate data-driven decisions.”

Through SingleStore’s data compression and SAS’ analytic performance, the companies aim to reduce the complexity of data management and integration, as well as the computational time required to train sophisticated models.

“For many organizations, getting value out of analytics, machine learning and AI is often associated with complexity, extended timelines and significant costs,” said Bryan Harris, Chief Technology Officer at SAS. “I’m excited to introduce the next generation of analytic architecture, SAS Viya with SingleStore, that is hyper-focused on addressing each of these challenges. This integration delivers a game-changing set of capabilities that simplifies and accelerates the iterative data and analytics loops – ultimately giving our customers a competitive advantage in the market.”

The integration of SAS Viya with SingleStore enables the advanced AI and machine learning analytics of SAS to be executed directly against relational database tables in SingleStore. By delivering this capability, SAS and SingleStore will considerably reduce customers’ technical debt of duplicative data stores, helping improve analytic workload performance and ultimately uncover key competitive advantages.

“The integration of SingleStore’s hybrid, multi-cloud database into the parallel analytics engine, SAS Viya, will dramatically improve performance, reduce cost, and enable real-time applications for organizations. Personally, it is a privilege to partner with the company that practically invented analytics, AI and ML. I have long admired SAS in terms of its technology, culture and leadership, and to partner with them as they reinvent the space is both an honor and an exciting opportunity. ” said Raj Verma, CEO of SingleStore.

In December 2020, SingleStore announced a strategic relationship with SAS. SAS Viya with SingleStore is now available and more information can be found at sas.com/viya-singlestore and https://www.singlestore.com/partners/sas-viya/

About SingleStore

The world’s leading brands rely on data – to make the right business decisions, to deliver exceptional customer experiences and to stay ahead of the competition. This reliance on data brings with it a need for simplicity, speed and scale. SingleStore delivers the world’s fastest distributed SQL database for data-intensive applications, SingleStoreDB. By combining transactional and analytical workloads, SingleStore eliminates performance bottlenecks and unnecessary data movement to support constantly growing, demanding workloads. Digital giants like Hulu, Uber and Comcast, and many more of the world’s leading SaaS providers, choose SingleStore to unleash the power of their data – supercharging exceptional, real-time data experiences for their customers. Follow us @SingleStoreDB and @SingleStoreDevs on Twitter or visit www.singlestore.com

Media Contact

Jessica Rampen
Director of Communications & PR at SingleStore
jrampen@singlestore.com