Operational environments are generating more data than ever before. Grid modernization initiatives, distributed energy resources, high-speed field telemetry, phasor measurement systems, and Industrial IoT deployments have significantly increased the volume and velocity of data that organizations must manage. Many traditional historians were designed for a different era and can struggle to scale efficiently as requirements continue to grow.

novoHIST™ is a high-fidelity historian built specifically for modern operational technology environments. Designed to manage large volumes of real-time data without compromising performance, novoHIST enables organizations to collect, store, and analyze millions of data points across critical infrastructure and industrial operations.

Built on advanced TimeSeriesDB technology, it captures millions of data points, alarms, events, and sequence-of-events records in a single historical repository while maintaining the speed and reliability required by critical infrastructure.

Through stream-based collection, novoHIST continuously records real-time changes with high-precision timestamps and preserves the operational context needed for accurate historical analysis. Designed to grow with increasing data volumes, it supports historical calculations and analytics directly against stored data.

Built on a secure Linux foundation, novoHIST integrates directly with analytics, visualization, and business intelligence tools through standard ODBC and JDBC connectivity, making historical data readily available to applications such as Excel®, Power BI, and Tableau.