Originally posted on Evocative.
SingleStore, which combines transactions, analytics, vector, and JSON in a unified, distributed SQL data platform, successfully transitioned from a cloud-heavy infrastructure to a high-performance, on-premises environment with Evocative. This has resulted in improved efficiency, cost optimization, and a scalable colocation strategy.
As SingleStore’s platform grew to power real-time analytics and generative AI applications for some of the world’s largest enterprises like Nvidia, Goldman Sachs, Siemens, Adobe, and Dell, so did their infrastructure demands. While the public cloud initially provided flexibility and ease of deployment, it also introduced significant costs that were difficult to sustain at scale.
SingleStore discovered it was spending nearly 20x more in public cloud spend than it would by running its core infrastructure on-premises. In addition to the financial impact, it faced limited visibility and governance over cloud workloads, which made it difficult to optimize for performance or control resource sprawl. This imbalance made it clear that a cloud-only model wasn’t aligned with its long-term growth or cost-efficiency goals. They needed a path forward that would deliver:
- Cost optimization
- Greater workload perfornance
- Predictable high-performance infrastructure for real-time analytics
By moving its workloads into a high-density colocation environment, SingleStore could better align their infrastructure with their business strategy—without compromising on performance or flexibility. Evocative’s hands-on guidance in both infrastructure planning and future-proofing made them the clear partner of choice for SingleStore’s migration and growth strategy.
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