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dataPARC

Industrial analytics and process data visualization software for manufacturing plants

Deployment
On-premise
Pricing
Quote only
Target size
mid-size plants

Updated · By , Founder, MetaProject · How we rank

About dataPARC

dataPARC is a process data analytics and visualization toolkit for manufacturing plants. Its core modules include process displays, KPI dashboards, SPC charts, advanced trending, predictive modeling, reporting, smart alarms, downtime tracking and manual data entry. The vendor's site describes the product, PARCview, as aggregating data from historians, ERP, MES, lab and quality systems into a single source of truth, connecting via XML, SQL, Web Services and OPCHDA, and working alongside historians such as OSIsoft PI, IP.21, Honeywell and GE systems.

The vendor's site says the toolkit is aimed at process manufacturers such as pulp and paper, chemicals, oil and gas, biomass energy, power and food and beverage producers, and describes use across plant floor operators, engineers, quality and lab staff, IT operations and senior management. The company states dataPARC is installed at more than 800 sites worldwide, though it does not describe how the software itself is deployed at a technical level, such as whether it runs on-premises, in the cloud, or both.

The vendor's site does not list any pricing information; the only call to action offered is to request a demo. It also does not specify technical deployment details or give a full account of how each named integration (for example OSIsoft PI or Honeywell historians) is technically implemented. Buyers evaluating dataPARC would need to contact the vendor directly to clarify pricing, deployment model, and integration specifics before a shortlist decision.

dataPARC screenshots

  • Trend chart with three tags including sine wave and temperature data, with tooltips showing timestamped values
    Trend view with tag list and timestamped value tooltipsScreenshot: dataPARC, from dataparc.com
  • Trend chart window overlapping a tag browser table listing tags with descriptions, units and process fields
    Trend chart and tag browser table with filter optionsScreenshot: dataPARC, from dataparc.com

Screenshots belong to dataPARC and are taken from its public website. To have one removed, email info@shopfloorindex.com.

dataPARC at a glance

Key facts about dataPARC
Founded1997
HeadquartersUSA
DeploymentOn-premise
Pricing modelQuote only
Pricing (as reported)quote
Target sizemid-size manufacturers
IndustriesPulp & Paper, Oil & Gas, Chemicals, Biomass Energy, Food & Beverage, Power, Biofuels, Specialty Materials
IntegrationsOSIsoft PI, IP.21, Honeywell, GE, Aveva, OPCHDA, SQL, XML, Web Services

Pricing and facts as reported by the vendor or public listings, checked when this profile was researched. Source: anexee.com.

Pros and cons

What works

  • Documents connectivity via XML, SQL, Web Services, and OPCHDA to existing historians
  • Includes process displays, KPI dashboards, SPC charts, and advanced trending tools
  • Provides smart alarms and downtime tracking for production monitoring
  • Includes OEE tracking for analyzing production loss from downtime and slowdowns
  • Supports manual data entry alongside automated data collection

What does not

  • No pricing information published; buyers must request a demo
  • Deployment model (cloud, on-premise, or hybrid) is not described on the site
  • Full technical details of how each named historian integration works are not documented

Who dataPARC is best for

Process manufacturers seeking to integrate data from historians, ERP, MES, lab, and quality systems into a single data source for plant-wide analytics.

Compared in

Alternatives to dataPARC

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Facts on this page come from dataPARC’s own documentation and pricing pages, plus what buyers tell us. Spotted something out of date? Tell us and we will fix it.