The #1 ProcessBook Alternative
Superior ad-hoc analytics tools, faster performance, lower cost… Just a few of the reasons dataPARC is the #1 alternative to ProcessBook for process data visualization & analysis.
Native PI Server Integration
It couldn’t be easier to connect to your existing PI historian data. Get up and running in minutes.
Superior Analytics Tools
There is no better toolkit for root-cause analysis & process troubleshooting
Lower Cost of Ownership
Scale & save. dataPARC allows you to add unlimited users for one low price.
Delivering Process Data Analytics Solutions for 25+ Years
“dataPARC was the perfect choice for us. We use a lot of long-term historical data for maintenance and in our day-to-day operations. Over time we began to experience problems with performance degradation with PI. It couldn’t access the long-term data fast enough.”
– Senior Process Engineer
Effortlessly Connect to Your PI Historian
Get access to next-gen data visualization & analytics tools without ripping and replacing your existing PI historian or disrupting your current IT infrastructure
- Native integration with PI Server.
- Connect to PI Data Archive for real-time and historical tag & time series data.
- Integrate with PI Asset Framework and make use of existing assets.
- Get connected in minutes.
Process Displays
KPI Dashboards
SPC Charts
Advanced Trending
Predictive Modeling
Reporting
Smart Alarms
Excel Add-in
Manual Data Entry
All Your Favorite Tools. And More…
Don’t abandon the tools you depend on to manage operations and troubleshoot process issues. dataPARC offers a full-featured process data management suite, with superior advanced analytics, faster performance, and at a lower overall cost.
- Build your own solutions without restrictions.
- No dependencies on PI Asset Framework.
- VB scripting extends platform functionality.
- Supports unlimited users on a perpetual license.
Superior Diagnostic Analytics
Mine richer insights from your data with dataPARC’s industry-leading set of ad-hoc root cause analysis & trending tools.
Migrating from ProcessBook?
Don’t start over from scratch. dataPARC offers a clear migration path for users who want to continue using critical PI ProcessBook displays and graphics. Our simple conversion utility quickly helps users:
- Convert ProcessBook displays (PDI, PIW)
- Convert calculations (datasets)
- Convert animations and buttons
- Convert DataLink displays
Unleash the Power of Your Data Ecosystem
Easily integrate with various data sources within your plant to break down data silos and unlock insights across your entire manufacturing process.
- Easily integrate with third-party applications and systems
- Simple API/SDK connectivity
- Futureproof your investment
- No hidden charges for data source connections
Improve Your Data’s Performance
Speed up your data analysis capabilities. dataPARC’s proprietary high-performance archive engine connects to PI Server and returns hours, days or months of high-resolution data within seconds, so you can get right to troubleshooting.
- 200x Faster retrieval of long-term data (>30 days)
- 2x Faster retrieval of short-term data (<24hrs)
- Reduce storage. No double-storing data.
Your Process Data, Your Way
Pull up trends, displays, and dashboards in a browser or mobile device to quickly understand the real-time operating conditions at the plant, or launch dataPARC on the desktop to perform more sophisticated root cause analysis and data modeling.
- Web + Desktop applications available
- Committed to continued development of desktop platform
Your Process Data, Your Way
Pull up trends, displays, and dashboards in a browser or mobile device to quickly understand the real-time operating conditions at the plant, or launch dataPARC on the desktop to perform more sophisticated root cause analysis and data modeling.
- Web + Desktop Applications
Committed to continued development of desktop platform
PI Server Data Visualization Buyer’s Guide
Learn how to evaluate ProcessBook & PI Vision alternatives, and discover some of the best PI Server data visualization tools available today.