The Challenge: Scaling Analytics Without Risking Operations

Operations depend on PI being fast, stable, and predictable. But as more analytics tools, teams, and workloads rely on PI data, several challenges emerge...

1. Analytics workloads compete with operations

When analytics tools read directly from PI, they consume resources needed for ingestion, dashboards, and alerts. This creates tension between operational reliability and analytical ambition.

2. Analytics depth is limited to protect PI

To avoid stressing production systems, teams often reduce data granularity, shorten retention, or avoid advanced analytics altogether.

3. Long-term and high-frequency analysis becomes impractical

PI environments are not optimized for deep history, high-frequency exploration, or large-scale feature engineering, forcing teams into compromises or workarounds.

The problem is not PI.It’s where analytics run.

● The Quasar Experience

PI feeds Quasar once.Analytics scale from Quasar.

Quasar removes analytics pressure from PI by becoming the analytics source, while PI remains the operational system of record.

PI continues to capture and contextualize data. Quasar receives a controlled analytics feed and serves downstream analytics at scale. Operations stay untouched. Analytics move forward.

Relieve Pressure on PI. Unlock Analytics.The Quasar Approach

What stays the same

PI remains the operational system of record
Asset Framework and PI Vision stay unchanged
Dashboards and workflows continue as-is

What becomes possible

Quasar becomes a fused system of record for both Real-Time and Historical data

Scalable analytics without stressing PI
Broader analytics across assets, sites, and fleets
Deeper analytics with long-term and high-frequency history
SQL and Python access for advanced analytics
Safe experimentation without operational risk

Want to talk about your PI environment?

Tell us a bit about your PI setup and the analytics challenges you’re running into. We’ll keep it practical.

● Resources

Learn more about how real-time data intelligence platforms can help you find opportunities in your data now

Whitepaper

Beneath the Surface: A Deep Dive into Quasar’s Real-Time Data Intelligence Platform (Part 3)

Learn More

Whitepaper

Beneath the Surface: A Deep Dive into Quasar’s Real-Time Data Intelligence Platform (Part 2)

Learn More

Protect PI. Unlock analytics.

Protect PI. Unlock analytics.

The Challenge: Scaling Analytics Without Risking Operations

Operations depend on PI being fast, stable, and predictable. But as more analytics tools, teams, and workloads rely on PI data, several challenges emerge...

1. Analytics workloads compete with operations

When analytics tools read directly from PI, they consume resources needed for ingestion, dashboards, and alerts. This creates tension between operational reliability and analytical ambition.

2. Analytics depth is limited to protect PI

To avoid stressing production systems, teams often reduce data granularity, shorten retention, or avoid advanced analytics altogether.

3. Long-term and high-frequency analysis becomes impractical

PI environments are not optimized for deep history, high-frequency exploration, or large-scale feature engineering, forcing teams into compromises or workarounds.

The problem is not PI.It’s where analytics run.

● The Quasar Experience

PI feeds Quasar once.Analytics scale from Quasar.

Quasar removes analytics pressure from PI by becoming the analytics source, while PI remains the operational system of record.

PI continues to capture and contextualize data. Quasar receives a controlled analytics feed and serves downstream analytics at scale. Operations stay untouched. Analytics move forward.

Relieve Pressure on PI. Unlock Analytics.The Quasar Approach

What stays the same

What becomes possible

Want to talk about your PI environment?

Tell us a bit about your PI setup and the analytics challenges you’re running into. We’ll keep it practical.

● Resources

Learn more about how real-time data intelligence platforms can help you find opportunities in your data now

Whitepaper

Beneath the Surface: A Deep Dive into Quasar’s Real-Time Data Intelligence Platform (Part 3)

Whitepaper

Beneath the Surface: A Deep Dive into Quasar’s Real-Time Data Intelligence Platform (Part 2)

Whitepaper

Beneath the Surface: A Deep Dive into Quasar’s Real-Time Data Intelligence Platform (Part 1)

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