Cognite Data Fusion vs Proficy

Cognite Data Fusion vs Proficy: Cognite Data Fusion is industrial DataOps and contextualisation platform; being acquired by Schneider Electric.; Proficy is mES, historian and digital-twin tooling for manufacturing; divested by GE Vernova in 2026.. Cognite Data Fusion starts from Enterprise quote, Proficy from Enterprise quote. Choose Cognite Data Fusion for digital twin foundations, industrial data integration, AI enablement; choose Proficy for manufacturing operations, historian and MES, production digital twins.

Cognite Data Fusion vs Proficy: side-by-side

	Cognite Data Fusion	Proficy
Starting price	Enterprise quote	Enterprise quote
Free tier	No	No
Category	Digital Twin	Digital Twin
Best for	digital twin foundations, industrial data integration, AI enablement	manufacturing operations, historian and MES, production digital twins
Sectors	power-generation, chemical, steel	power-generation, steel

Verdict: Pick Cognite Data Fusion if you need digital twin foundations, industrial data integration, AI enablement. Pick Proficy if you need manufacturing operations, historian and MES, production digital twins.

Detailed comparison analysis

Use-case fit: Cognite Data Fusion excels at digital twin foundations, industrial data integration, while Proficy is built for manufacturing operations, historian and MES. The right choice depends on whether your plant's primary challenge is asset reliability, downtime reduction, energy efficiency, or compliance. Consider your team's technical depth and existing system integrations before committing.

Pricing and ROI: Cognite Data Fusion is paid-only, starting from Enterprise quote. Proficy is paid-only, with pricing from Enterprise quote. Industrial software ROI is typically calculated per asset or site, factoring in maintenance savings and unplanned-downtime avoidance. A trial or pilot often clarifies true total-cost-of-ownership for your operation.

Core capabilities: Cognite Data Fusion emphasizes Contextualised industrial data model (DataOps), Foundation for digital twins and 3D asset models, Connects historians, ERP, maintenance and documents. Proficy prioritizes Industrial historian and time-series data, MES and operations management, HMI/SCADA and edge connectivity. Both categories are table-stakes in modern industrial software. The differentiator is depth: which platform handles your specific asset types (e.g., rotating machinery, thermal equipment, process control) with out-of-the-box insights and data models, vs which requires customization.

Vertical depth: Cognite Data Fusion is tagged for power-generation, chemical. Proficy is strong in power-generation, steel. If you operate in a niche sector (e.g., bakeries, pharmaceuticals, micro-breweries), verify that your platform has integrations and domain knowledge for your specific equipment and compliance rules. Generic tools often miss critical details that plants in your vertical depend on.

Strengths and trade-offs: Cognite Data Fusion's key advantage is often solves the industrial data-integration p, while Proficy shines with broad stack from control layer to analyt. No platform excels everywhere. Use the detailed comparison table below to weigh scalability, mobile support, API breadth, and maintenance burden against your plant's capabilities and budget.

One collects the data, the other contextualises it

These two turn up on the same shortlist because both are described as industrial data platforms. Read the vendors' own descriptions and they occupy different positions in the same stack.

GE Vernova describes Proficy Historian as software that collects industrial operations time-series and A&E data at very high speed, stores it efficiently and securely in the cloud or on-premises, distributes it and allows fast retrieval and analysis. It is offered on premises, in the cloud or fully SaaS-hosted.

Cognite describes Data Fusion as an open industrial data and AI platform that deploys a contextualised data foundation, framed as three moves: unify data by breaking down IT, OT and ET silos; contextualise it, bringing time series, P&IDs and 3D models into a single model with AI-assisted search; and activate it as a foundation for industrial tools and AI solutions.

A historian is a source of high-fidelity process data. A contextualisation platform is a layer above sources that joins that data to drawings, equipment records and 3D models. Sites routinely run both, with the historian feeding the platform.

Ownership changed in 2026 — check who you are buying from

Proficy is no longer a GE Vernova product. GE Vernova's Q1 2026 Form 8-K states that it completed the sale of its Proficy manufacturing software business to TPG for $0.6 billion, recognising a $330 million pre-tax gain in the quarter ended 31 March 2026. GE Vernova's Proficy pages now carry Velotic branding — the independent company formed to hold Proficy alongside PTC's Kepware and ThingWorx.

This matters commercially rather than technically: the software is the same, but the contracting entity, roadmap ownership and support structure are not the ones described in most comparison content written before 2026. Confirm the current entity, support terms and roadmap commitments in writing before a long-term commitment.

What each is documented to do

Dimension	Cognite Data Fusion	Proficy Historian
Position in the stack	Contextualisation and data-foundation layer above sources	Time-series and A&E collection and storage
Data types named by vendor	Time series, P&IDs, 3D models and other industrial data across IT, OT and ET	Industrial operations time-series and alarm & event data
Core promise	A unified, central data model with AI-assisted search over contextualised data	Very high-speed collection with efficient, secure storage and fast retrieval
Deployment	Cloud, modular design with workspaces, APIs and SDKs	On premises, cloud, or fully SaaS-hosted
First implementation step per vendor	Data governance: appoint an admin, connect the identity provider, define access	Connect collectors to control systems and define the tag set
Current vendor	Cognite	Velotic (divested by GE Vernova to TPG, 2026)

How to choose, or whether you have to

• You need faithful, fast process history. That is a historian requirement. Resolution, compression behaviour and retrieval speed are the deciding criteria, and a contextualisation layer does not replace them.
• Your data is fine but nobody can find or join it. Tags in one system, drawings in another, maintenance records in a third. That is a contextualisation problem, and adding historian capacity will not touch it.
• You are building AI or analytics across sites. You will need both — a trustworthy source of process history and a layer that gives it engineering and asset context.

Framing these as alternatives is usually a symptom of an unclear problem statement. Name the failure you are trying to fix first.

Where each one disappoints

• Contextualisation inherits your naming mess. Joining systems requires a consistent asset model. Where the historian, CMMS and control system disagree on tag naming, that reconciliation becomes the project, and it is rarely in the initial estimate.
• A historian is only as good as its collectors. Missing or mis-scaled tags at the collector produce a perfectly-stored record of the wrong thing.
• Governance first is not optional. Cognite's own implementation guidance starts with data governance and identity, not with ingestion — teams that skip to connecting sources tend to rebuild access control later.
• Neither changes an operating decision by itself. Both surface information; somebody still has to own acting on it.

What this page does not claim

No pricing, no ratings, no independent benchmark. Proficy Historian's marketing cites compression efficiency figures relative to "a leading competitor" and to relational databases; those are the vendor's own claims, measured under conditions the vendor has not published here, and they are not repeated as fact. Where a capability is not stated in the documentation listed below, it is not asserted.

Sources

• Cognite — About Cognite Data Fusion (CDF), product documentation
• Cognite — Cognite Data Fusion - industrial DataOps platform, product page
• GE Vernova — Proficy Historian Software, product page
• GE Vernova (SEC) — Form 8-K, Q1 2026 - completed sale of Proficy to TPG

Vendor pages and filing retrieved 1-2 September 2026. Ownership and packaging are changing in this segment; re-check before specifying.

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