Architecture Design

Our design principles: SHEMPL

Simplicity: We make deployment and high-dimensional queries simple.

Horizontal Scaling: We can ingest data from varied cross-domain sources.

Extensibility: We offer an extensible suite of analytics features and customizable visualizations.

ML Optimization: We enable massive scale deep learning both on streaming and batch data.

Portability: Hosted on Kubernetes, our solution gives you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you across the geographies.

Long-Term Storage: We store data for historical data analytics.