Dataparc
Dataparc provides industrial process data analytics software combining a real-time data historian (PARCserver) with visualization tools (PARCview) for process manufacturers in chemicals, oil and gas, power, pulp and paper, and food and beverage industries globally.
- Company typePrivate
- Founded1999
- HeadquartersVancouver, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Dataparc does
Dataparc, operated legally as Capstone Technology Inc, is an industrial process data analytics software provider serving process manufacturers worldwide. The platform combines an enterprise real-time data historian (PARCserver) with a visualization and analytics toolkit (PARCview), enabling collection, storage, and retrieval of high-speed time-series process data from heterogeneous plant sources. Specialized components extend functionality into predictive soft-sensor modeling (PARCmodel), high-performance data retrieval (PARCpde with claimed 10-50x speed advantage), closed-loop control (MACSestimator), asset-centric organization (Asset Hub), spreadsheet integration (Excel Add-in), and custom graphics (PARCgraphics Designer). The platform supports native connectivity to OPC DA/HDA, SQL, XML, and Web Services, and integrates with legacy historians including OSIsoft PI, Aspen IP.21, Honeywell, GE, and AVEVA systems.
The company monetizes through subscription-based enterprise software licensing using an unlimited-user model that contrasts with the per-user pricing of incumbent OSIsoft PI System. Sales are executed via direct enterprise field sales anchored by a "Request a Demo" entry point, complemented by strategic channel partnerships with Hitachi Systems and Mitsui Knowledge Industry, which integrate the platform into digital manufacturing solutions for Japanese and broader Asia-Pacific customers. The customer base spans Fortune 500 and large-enterprise buyers across chemicals (Dow, W.R. Grace), oil and gas (Energy Transfer, S-Oil), pulp and paper (WestRock, Catalyst Paper, Kuantum Papers), power generation (Atlantic Power, Korea Western Power), metals (Alcoa), specialty materials (Mativ), and food and beverage (Campbell's, Amalgamated Sugar).
Founded in 1994 (with company-history sources indicating 1999), Dataparc is headquartered in Washougal, WA, with a regional contact office in Tokyo and a global footprint served through a nine-language website. Following OSIsoft/AVEVA's announcement to phase out PI ProcessBook by December 2024, the company explicitly repositioned as a PI System migration target, leveraging lower total cost of ownership and faster data retrieval as procurement drivers. Marketing is content-driven via manufacturing-focused blogs, PI-alternative buyer guides, multi-language SEO, community forums, and industry events.
Dataparc firmographics
Firmographics- Name
- Dataparc
- Legal name
- Capstone Technology Inc
- Website
- https://dataparc.com
- Company type
- Private
- Founded year
- 1999
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Dataparc provides industrial process data analytics software combining a real-time data historian (PARCserver) with visualization tools (PARCview) for process manufacturers in chemicals, oil and gas, power, pulp and paper, and food and beverage industries globally.
- Ownership category
- akta.pro rank
Dataparc industry classification
Industry- Product category
- Industrial Process Data Analytics Software
- NAICS
- Software Publishers (513210)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
- akta.pro secondary industries
- Real-Time / Streaming Data Warehousing (HDAEABAF), Data Warehouse/Lakehouse Performance Optimization & Cost Management (HDAEABAL), Feature Stores & ML Data Management (HDAAABAB)
Keywords
Where Dataparc is headquartered
LocationHeadquarters
- HQ city
- Vancouver
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Dataparc business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
Revenue model
- Software Licensing: dataPARC operates on a software licensing model with an unlimited user licensing approach, contrasting with per-user pricing used by competitors like PI System. Licensing includes the PARCview visualization toolkit and PARCserver historian as core components, with optional PARCmodel predictive analytics module licensed separately but integrated within PARCview.
- Enterprise Software: Total cost of ownership is significantly lower than comparable industry solutions with both acquisition costs and ongoing operational costs substantially below PI System pricing, making it attractive for organizations wanting to democratize production data access across all decision-making levels.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Unlimited User Licensing |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels6 records
Dataparc product offering
Product offeringCore offering
Dataparc sells an enterprise industrial process data analytics platform that combines a real-time data historian (PARCserver) with a visualization and analytics toolkit (PARCview) to collect, store, visualize, and analyze time-series manufacturing process data. The platform is sold on a subscription software-licensing basis with an unlimited-user model, and includes add-on modules for predictive soft-sensor modeling (PARCmodel), high-speed data retrieval (PARCpde), and closed-loop control (MACSestimator).
Product overview
dataPARC is a comprehensive industrial analytics platform combining an enterprise data historian (PARCserver) with visualization and analytics tools (PARCview). The platform uses a modular architecture where PARCserver collects and stores time-series data from various sources, PARCview provides the primary user interface for trending, analysis, dashboards, and reporting, and specialized components like PARCmodel (soft sensors/predictive analytics), PARCpde (high-speed data engine), and MACSestimator (closed-loop control) extend capabilities. Additional modules include Excel Add-in for spreadsheet integration, Asset Hub for asset-based data organization, and PARCgraphics Designer for custom display creation. The platform supports integration with existing historians (OSIsoft PI, Aspen IP.21, Honeywell, GE, Aveva) and ERP systems (SAP) through OPC protocols and SQL connectivity.
Differentiator
Problem solved
Functional benefit
Brands
- PARCview: Data visualization and analytics toolkit for manufacturing process optimization
- PARCserver
- PARCmodel
- MACSestimator
Products and services
- PARCview Manufacturing data visualization and analytics toolkit providing trending, root cause analysis, dashboards, KPI tracking, SPC/SQC charts, process displays, and reporting capabilities; serves as the primary user interface for the dataPARC industrial analytics platform and is sold to enterprise process manufacturers.
- PARCserver Enterprise real-time data historian for collecting, storing, and retrieving high-speed time-series process data from plant sources; provides the data foundation for the dataPARC platform with store-and-forward capability for uninterrupted data collection during connection interruptions.
- PARCmodel
Quantifiable outcome
- Diagnosed boiler efficiency problem origin in 4 minutes using dataPARC's data visualization tools
- +2 more outcomes
Companies that use Dataparc
Customer profileNamed customers11 records
Segments3 records
Ideal customer profiles1 record
Dataparc technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration8 records
AI capability3 records
Feature7 records
Dataparc partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core.
- Hitachi SystemscoreStrategic partnership announced December 2025 where Hitachi Systems, a system integrator and IT services provider, integrates dataPARC's industrial data platform including its historian and PARCview analytics toolkit into its digital manufacturing solutions. The combined platform brings together data from process control systems, historians, quality, maintenance, and business applications to enable faster, data-informed decisions for smart manufacturing efforts in the Japanese market.
- Mitsui Knowledge IndustrycoreStrategic partnership with Mitsui Knowledge Industry for market expansion and technology integration. Partnership enables dataPARC to extend reach in Japanese and Asian markets through local technology partner with industry expertise.
Scale indicators3 records
Recent moves6 records
Expansion highlights5 records
Dataparc competitors and assessment
Company assessmentDirect peers
- AVEVA: AVEVA owns the PI System (formerly OSIsoft), dataPARC's primary competitor and the anchor of its entire alternative-platform positioning. Both deliver industrial data historians with visualization and analytics for process manufacturers.
- Aspen Technology: AspenTech's IP.21 historian is explicitly listed in dataPARC's integration matrix as a supported system. Both serve process manufacturing with historian + analytics stacks, including APC and optimization.
- Canary Labs: Canary Labs is a long-standing direct competitor in the industrial data historian and trending/visualization space, targeting many of the same process industries (power, chemicals, pharma, pulp & paper) as dataPARC.
- Inductive Automation (Ignition): Ignition by Inductive Automation is an industrial application platform with historian, trending, and alarming capabilities. It is a direct alternative for the SCADA/historian/visualization layer dataPARC targets.
Broad incumbents
- Honeywell: Honeywell's Process History Database (part of Forge for Process) is listed in dataPARC's integration roster. Honeywell offers a broader industrial automation portfolio that includes competing historian and analytics capabilities.
- GE Digital: GE Digital's Proficy Historian is listed as a natively integrated data source in dataPARC. GE Digital competes across industrial historian and analytics for process manufacturers, with a much broader installed base.
- PTC: PTC's ThingWorx and Kepware stack provides industrial connectivity and analytics overlapping with dataPARC's historian + analytics platform. PTC competes in the broader industrial IoT and digital thread space.
- Siemens: Siemens offers WinCC/PCS 7 with embedded historian and process analytics for industrial automation. It overlaps with dataPARC's process manufacturing focus as part of a much wider automation portfolio.
- Rockwell Automation: Rockwell's FactoryTalk Historian and FactoryTalk Analytics compete in process and discrete manufacturing data management. Overlaps with dataPARC's historian + analytics value proposition.
Emerging players
- Trendminer (Software AG): Trendminer provides self-service analytics on top of industrial time-series data for process manufacturers. It represents a newer, analytics-forward approach that overlaps with dataPARC's PARCview + PARCmodel capabilities.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Dataparc social profiles
Digital presenceDataparc financial estimates
Financial estimateRevenue estimate
Valuation estimate
Dataparc leadership team
Management profileNumber of profiles
Dataparc funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Dataparc M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Dataparc
What does Dataparc do?
Dataparc sells an enterprise industrial process data analytics platform that combines a real-time data historian (PARCserver) with a visualization and analytics toolkit (PARCview) to collect, store, visualize, and analyze time-series manufacturing process data. The platform is sold on a subscription software-licensing basis with an unlimited-user model, and includes add-on modules for predictive soft-sensor modeling (PARCmodel), high-speed data retrieval (PARCpde), and closed-loop control (MACSestimator).
Is Dataparc a public or private company?
Dataparc is a private company. It is classified as unknown and is currently operating.
When was Dataparc founded?
Dataparc was founded in 1999. It employs 1 to 10 people.
Where is Dataparc based?
Dataparc is headquartered in Vancouver, United States, in the North America region.
How does Dataparc make money?
Two revenue lines are on record. Software Licensing is the primary driver. The others are enterprise Software.
Who are Dataparc's main competitors?
Direct peers on record are AVEVA, Aspen Technology, Canary Labs and Inductive Automation (Ignition). Broad incumbents are Honeywell, GE Digital, PTC, Siemens and Rockwell Automation. Trendminer (Software AG) is listed as an emerging player.
Does Dataparc have an API?
No public API is recorded for Dataparc.
What industry is Dataparc in?
Dataparc's product category is Industrial Process Data Analytics Software. Its primary akta.pro industry code is HDAEABAD, Data Platform (Unified Data & Analytics) Suites, with a secondary code of HDAEABAF, Real-Time / Streaming Data Warehousing. Its NAICS code is 513210 and its SIC code is 7372.