With years of experience in delivering scalable and efficient data solutions, we specialize in real-time streaming architectures that power mission-critical workloads.
We offer the Scalor Engine because it is our only architecture proven to operate reliably at trillion-scale in long-term production environments. Our other architectures simply haven't been battle-tested at this level of scale.
That said, we also provide alternative architectures designed for startups and mid-sized businesses. These solutions are lightweight, cost-efficient, and aligned with business goals at every stage—whether you’re just getting started or preparing to scale. Each architecture is built to serve your current needs while laying a solid foundation for future growth.
The architecture enables fully native and optimal scaling, powered by Service Mesh and Custom Resource Definitions (CRDs). Scaling is event-driven—triggered by Knative Eventing and orchestrated based on fine-grained serving rules—enabling rapid, pod-level scale-up and scale-down.
Best of all, it’s non-invasive to application code. The runtime is injected as a sidecar container, allowing the Service Mesh to transparently manage all scaling decisions.
Flink is used to capture IoT data and get it ready for BI and near real-time analytics.
Production stable at multi-million scale.
Customer adopts fully open-source stack, including MQTT,Kafka, Flink, HBase, MySQL, OpenTSDB.