The First Snowflake-Native Process Intelligence Platform
QPR ProcessAnalyzer delivers enterprise process mining and intelligence natively in Snowflake — without moving or duplicating your data. Analyze billions of events, uncover process bottlenecks and give AI agents the operational context they need.
Visionary in the 2026 Gartner® Magic Quadrant™ for Process Intelligence Platforms
Visionary in the 2026 Magic Quadrant for Process Intelligence Platforms (4th consecutive year)
Ranked #2 globally in Critical Capabilities for Process Mining
Most platforms connect to Snowflake. QPR runs inside it.
Most process intelligence platforms move your data outside Snowflake.
That adds copies, complexity, and governance risk.
QPR ProcessAnalyzer runs natively inside Snowflake AI Data Cloud— delivering faster insights, simpler architecture, and a stronger foundation for enterprise AI.
Zero Data Movement
Your process data stays in Snowflake.
No exports. No replication. No copies.
Built-In Governance
Use Snowflake’s native security, access controls, and compliance — built in.
Faster Time-to-Insight
Analyze billions of events where the data lives.
No pipelines. No delays.
Enterprise Scale, Less Complexity
Run process intelligence at scale with simpler architecture and lower overhead.
Your AI agents are already doing real work. Can you see how they actually behave?
QPR AI Agent Mining for Snowflake
AI observability shows individual traces.
QPR AI Agent Mining reveals the patterns across every run.
See the actual paths AI agents take, where they loop or deviate, what they cost — and where performance can be improved.
Why enterprises switch to QPR
Organizations choose QPR when they need enterprise-grade process intelligence without the complexity, cost, or rigidity of traditional platforms. We combine native Snowflake architecture, flexible commercial terms, and a level of customer support that clients consistently call unmatched.
Deploy directly from Snowflake Marketplace
QPR ProcessAnalyzer is available as a native app on Snowflake Marketplace — allowing you to deploy process intelligence directly inside your Snowflake environment with zero data movement and full governance.
No separate infrastructure. No unnecessary integrations.
Key benefits:
Native deployment
Built-in governance
30-day free trial
Use your Snowflake credits
See Snowflake-native process intelligence in action
See how native process intelligence works inside Snowflake — with zero data movement, built-in governance, and enterprise-scale performance.
Proven results. Native performance.
Leading enterprises use QPR ProcessAnalyzer to turn process data into measurable business outcomes — running natively inside Snowflake.
shorter lead times
Piraeus Bank fixed automation bottlenecks.
faster HR transactions
Sanofi saved 6,200 working hours annually.
more efficient order processing
Metsä Board doubled conformance and throughput.
From pilot projects to enterprise-wide process intelligence
Discover how Sanofi built a Process Mining Center of Excellence with QPR and Snowflake — connecting process insights to measurable business value and embedding AI into operational decision-making.
Learn More about Process Intelligence in Snowflake
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Frequently Asked Questions About Process Mining in Snowflake
Snowflake-native process mining analyzes business process data directly within the Snowflake environment, without moving it to a separate analytics platform. QPR ProcessAnalyzer uses Snowflake's computing power, security and governance to reveal how business processes actually run.
QPR ProcessAnalyzer runs natively on the Snowflake AI Data Cloud and is also available as a Snowflake Native App through Snowflake Marketplace. Both approaches enable process intelligence directly where enterprise data resides, without unnecessary data movement or duplication.
Many process mining solutions connect to Snowflake but process data outside the customer's Snowflake environment. QPR offers Snowflake-native process intelligence, reducing data duplication, simplifying architecture and keeping process analysis within Snowflake's existing governance framework.
No. With QPR's Snowflake-native deployments, process data remains in the customer's Snowflake environment. Process intelligence runs where the data resides, using Snowflake's existing security, access controls and governance.
Yes. Through QPR's Model Context Protocol (MCP) interface, AI assistants and agents can access process intelligence to understand operational bottlenecks, exceptions and improvement opportunities. This gives AI operational context grounded in real business processes.
Yes. QPR ProcessAnalyzer is available as a Snowflake Native App on Snowflake Marketplace, with a 30-day free trial. Organizations can deploy the app within their Snowflake environment and evaluate native process intelligence using their own data.
Yes. QPR AI Agent Mining for Snowflake applies process mining to AI agent execution traces. It reveals how agents execute tasks, where they repeat steps or deviate, and which execution patterns drive costs and inefficiencies.
