Hi, I know that is isn't exactly what you're looking for, but Quasar.ai (SAS Partner, see Georgia-Pacific case study) is currently working on a campaign that focuses on delivering a quick win for AVEVA/OSIsoft PI users by removing the analytics load from PI and reducing storage costs.
PI captures and contextualizes operational data. Quasar absorbs historical and real-time data safely. SAS consumes Quasar for ML, forecasting, and predictive maintenance. PI stability is preserved.
Value: one analytics source instead of many tools pulling from PI, faster model iteration with no PI performance risk, and an architecture that IT, operations, and executives can approve.
What Quasar does in a PI environment
Quasar connects natively to PI outputs. It continuously captures historical and live PI data, merges them into a unified analytics view, preserves AF context as metadata, and stores data long-term at very low cost, on-prem or in the cloud. It exposes data through SQL, Python, SAS, and modern analytics frameworks.
Quasar supports high-frequency data and deep history without stressing PI and enables experimentation and advanced analytics without touching production operations.
***All existing PI infrastructure stays in place***
