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Industrial Data Historians & OT Data Platforms · Context, Analysis & Enterprise Data Access

Calculations, KPIs & historian analytics

Create calculated tags, aggregates, events, KPIs, statistics or other historian-native analytical outputs where supported.

5 products evaluated3 supported2 partial / conditional0 not yet verified0 not supportedAvg evidence confidence 98%

Product support comparison

Recorded product facts are shown separately from buyer-specific recommendation scores. “Not yet verified” means evidence is incomplete; it does not mean the product lacks the capability.

ProductStatusConfidenceImplementationEvidenceLimitations / notesLast verified
AI
Aspen InfoPlus.21
Aspen Technology
Supported99%Not recorded1 sourceIP.21 includes real-time computation engines for KPI and SPC/SQC analysis and supports advanced analytics over historian data.Sep 18, 2026
CH
Canary Historian
Canary Labs
Supported99%Not recorded1 sourceCanary Calculation Server creates calculated tags, aggregates and asset-model calculations that can be backfilled.Sep 18, 2026
Supported98%Not recorded1 sourcePI System supports foundational analysis, event tracking, notifications and processing of historical and real-time data; advanced AI/ML remains external/adjacent unless separately licensed.Sep 18, 2026
Partially Supported97%Not recorded1 sourcePHD supports virtual tags and on-demand calculations, while broader KPI/analytics capabilities are delivered through additional Uniformance products.Sep 18, 2026
PH
Partially Supported97%Not recorded1 sourceHistorian enables fast retrieval and analysis, but advanced analytics/AI are provided through adjacent Proficy analytics products and are not treated as core Historian entitlement.Sep 18, 2026

Buyer research paths

Use this capability as one requirement inside the wider category evidence model. The links below are research and comparison paths, not a product recommendation.

Software evidence benchmark

Understand TechSelectAI coverage, source verification and research gaps before interpreting individual capability records.

Evidence methodology

See how support status, confidence, freshness and Unknown ≠ Unsupported are handled.

How to use this comparison

Support status

Supported, conditional, unknown and not-supported states are kept distinct so missing evidence is not treated as a negative fact.

Confidence

Confidence reflects the strength of the recorded evidence for this capability, not overall product quality.

Fit for your company

A product can strongly support this capability and still be a poor overall fit due to deployment, integrations, security, region, budget or other must-haves.

Independent software advice

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