Scaling Time Series for Industry 4.0:
A Practical Guide to Historian Augmentation
Most modern industrial operations today are facing a familiar challenge: data historians that can’t keep up with modern requirements. These systems handle basic data collection well enough, but they weren’t designed for the high-velocity streams from IoT devices or integration demands of contemporary analytics platforms.
Rather than replacing working systems entirely, many organizations are finding success with augmentation approaches. This technical paper examines how adding a modern time series database layer can address scalability and integration issues while preserving embedded operational workflows.
The guide covers:
- Architecture patterns for hybrid deployments that maintain existing historian functionality
- Technical approaches to data replication and interoperability between legacy and modern systems
- Implementation strategies for adoption that minimize operational risk
- Real-world examples from manufacturing and energy organizations using these solutions
