There’s been a lot of buzz around SAS SpeedyStore at SAS Innovate 2025 in Orlando—and for good reason. This next-generation solution is a true game-changer in real-time analytics and data management. Since the early days of the SAS and SingleStore collaboration, much has evolved. With the recent transformation of the offering, it’s the perfect time to take a fresh look at what SAS SpeedyStore brings to the table.
SAS Viya with SingleStore was a combined solution where SAS’s advanced analytics and AI capabilities seamlessly integrate with SingleStore’s high-performance, cloud-native database, allowing users to perform complex data analysisdirectly on real-time data stored within SingleStore, resulting in faster insights and improved decision-making without the need for extensive data movement.
SAS Viya with SingleStore Premium was an extension of SAS Viya with SingleStore with advanced database features like point-in-time recovery, audit logging, resource governance, and multi-AZ failover.
Today, SAS SpeedyStore is the unified offering that remains—bringing together all the capabilities of the former Premium edition under a new name. The original SAS Viya with SingleStore and its Premium variant have been retired, making SAS SpeedyStore the sole, modern solution for integrating SAS analytics with SingleStore's database performance.
Modern data environments demand a streamlined approach to managing increasingly diverse and dynamic workloads.
SAS SpeedyStore meets this challenge by unifying operational, analytical, and AI workloads within a single, high-performance system. This integration simplifies your data architecture, reduces complexity, and improves overall efficiency.
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With high-throughput data ingestion and robust support for concurrent workloads, SAS SpeedyStore enables your organization to keep pace with real-time data demands.
By embedding analytics and AI directly within the database, it minimizes data movement—delivering faster insights with lower overhead.
This unified approach also helps eliminate technical debt by consolidating redundant applications and duplicate data stores, leading to lower costs, easier maintenance, and better business outcomes.
SAS SpeedyStore modernizes your SAS environment by integrating with a high-performance, cloud-native SQL database—enhancing compatibility, collaboration, and scalability. It eliminates proprietary data formats, enabling seamless data sharing with non-SAS tools and reducing data duplication to cut storage costs by 50% or more.
With SingleStore Pipelines, it supports fast data ingestion, while automated storage tiering ensures exabyte-scale growth. Security is strengthened through encrypted, compressed storage, and operational resilience is improved with simplified replication, disaster recovery, and migration.
Additionally, it reduces CAS memory requirements by up to 60%, lowering infrastructure costs without compromising performance.
Let’s highlight some key SingleStore features that contribute to the strength of SAS SpeedyStore.
A hybrid storage format that supports both rowstore and columnstore data in a unified engine.
This flexibility allows SAS SpeedyStore to efficiently handle transactional (OLTP) and analytical (OLAP) workloads within the same environment—without needing separate systems or data transformations.
Separates compute and storage by leveraging cloud object storage for data persistence.
This enables SAS SpeedyStore to scale elastically and cost-effectively, supporting massive datasets without overwhelming compute resources. It also simplifies backup, archiving, and disaster recovery strategies.
Provides native, high-speed data ingestion from a variety of sources—including files, cloud storage, and message queues—without needing external ETL tools.
With Pipelines, SAS SpeedyStore can ingest large volumes of real-time and batch data quickly and continuously, keeping analytics timely and actionable.
Now, let’s explore the capabilities of SAS SpeedyStore—where industry-leading analytics from SAS Viya meet the speed and scalability of SingleStore’s modern database engine.
SAS offers native connectivity to SingleStore, enabling direct interaction with the database—no intermediate layers required.
Data is read directly from SingleStore without needing to stage it in CAS, reducing latency and simplifying workflows.
Data transfers between SAS and SingleStore are parallelized, allowing for high-throughput read and write operations.
Computed columns are evaluated within SingleStore, ensuring efficient execution and reduced data movement.
WHERE clause filters are processed directly in SingleStore, minimizing data transfer and improving performance.
Aggregations (e.g., SUM, AVG) are executed in SingleStore, leveraging its high-performance engine for faster results.
SingleStore supports SAS formats, preserving labels and value mappings during data access.
Real-time data streaming from SingleStore to SAS enables up-to-the-moment analysis on operational data.
The SAS Scoring Accelerator runs scoring models directly within SingleStore, reducing latency from insight to action.
Execute SAS DATA step logic directly in SingleStore to accelerate complex data transformations.
SAS Studio seamlessly integrates with SingleStore, offering intuitive steps that generate optimized code for data loading and manipulation.
Coming soon: Engineering and Analyzing Data at Scale with SAS® SpeedyStore, a new course (on learn.sas.com) that dives into all these powerful features. Don’t miss it!
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