Platform

Clusters

Independent storage & compute

Bringing real-time to innovative teams

A unified database for modern applications

Eliminate the complexity and cost of storing data across multiple, disparate silos.

Build workloads within the SingleStore platform and run them on isolated compute deployments.

Scale compute on-the-fly — independent from storage — while providing low-latency access to shared data.

Blazing-fast shared data access

Database sharing gives you the flexibility to attach databases across multiple clusters to power a diverse set of workloads while maintaining ultra-low latency.

We don’t compromise on speed and scalability — with SingleStore you get both.

Attach and detach databases across diverse clusters, keeping consistent and isolated performance.

Reduce TCO

Eliminate the cost and complexity of moving and maintaining data between multiple workloads.

Using a single platform across compute workloads brings significant cost savings.

SingleStore’s unique design means compute can be scaled out using the native clustered architecture, rather than simply scaling up using larger machines — ultimately saving you money.

Mauricio Aristizabal

Principal Data Architect, impact.com

Thanks to SingleStore, we're delivering sub-second reports, dashboards, exploratory BI, APIs and even by-key lookups, all from the same real-time streamed dataset with many billions of records, so all our users get fast answers on up-to-the-minute data. We further leverage Clusters to isolate and tune compute resources for each of those consumers, so they are protected from noisy neighbors and meet their specific SLAs while keeping costs in check.