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Manufacturing · head to head

Sight Machine vs TrendMiner

Sight Machine logo

Sight Machine

Manufacturing

Enterprise manufacturing data platform that builds a plant data model rather than a dashboard

From
On request
Rated
-
Full reviewWebsite
TrendMiner logo

TrendMiner

Manufacturing

Search-driven time series analytics for process engineers, now owned by Proemion rather than Software AG

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Sight Machine onboarding is a data engineering project measured in months per plant, so value arrives long after the contract starts and the internal sponsor needs the patience and budget to survive that gap.; TrendMiner ownership moved from Software AG to Proemion in a 47 million euro sale during the Silver Lake break-up, so the integration roadmap tied to webMethods and Cumulocity is gone and the new owner is far smaller.
  • They diverge on capability: Sight Machine covers Unified plant data model, TrendMiner covers Pattern search.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Sight Machine and TrendMiner actually diverge.

Attributes where Sight Machine and TrendMiner differ
AttributeSight MachineTrendMiner
PlatformsWeb, APIWeb, Windows, Linux

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Manufacturing).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Sight Machine

  • Unified plant data model
  • Broad ingestion
  • Cross plant benchmarking
  • Root cause analysis
  • Natural language querying
  • Cloud data platform delivery

Only in TrendMiner

  • Pattern search
  • Value-based search
  • Monitors
  • Soft sensors
  • Context items
  • Dashboards
  • Machine learning models
  • ContextHub

What people use each for

The jobs each tool is most often brought in to do.

Sight Machine

  • A corporate operations team that cannot compare plant performance because every site defines a stoppage differentlynot TrendMiner
  • A manufacturer whose historian data is plentiful but has never been modelled into anything a business can querynot TrendMiner
  • A group standardising manufacturing reporting into a cloud data warehouse alongside finance and supply chain datanot TrendMiner
  • A quality organisation investigating a defect that appears at several plants with different equipmentnot TrendMiner

TrendMiner

  • Finding every prior occurrence of a heat exchanger fouling signature to estimate cleaning frequency from history rather than from a rule of thumbnot Sight Machine
  • Comparing golden batches against off-spec ones in a pharmaceutical process without exporting to a data science teamnot Sight Machine
  • Building a monitor that flags the early temperature signature that preceded the last three compressor tripsnot Sight Machine
  • Giving a process engineer a way to answer a question in an afternoon that previously required a historian export and a spreadsheet weeknot Sight Machine

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Sight Machine

  • Onboarding is a data engineering project measured in months per plant, so value arrives long after the contract starts and the internal sponsor needs the patience and budget to survive that gap.
  • It assumes the instrumentation already exists, so a plant whose machines produce no usable data gets nothing from a data platform and needs to solve connectivity first with a different class of product.
  • Pricing scales with plants and data volume and is never published, which puts it out of reach for single site manufacturers regardless of how relevant the capability sounds.
  • It is not an MES and does not control or execute anything, so it sits on top of the operational systems and adds a layer to maintain rather than replacing one.
  • Success depends on a central team that owns definitions and enforces them, and in groups where plants retain autonomy the standardisation the platform provides gets quietly ignored at site level.

TrendMiner

  • Ownership moved from Software AG to Proemion in a 47 million euro sale during the Silver Lake break-up, so the integration roadmap tied to webMethods and Cumulocity is gone and the new owner is far smaller.
  • It is built for continuous time series and handles discrete manufacturing, relational quality data and event-driven production poorly, so plants that are not continuous process get limited value.
  • Value depends entirely on historian data quality and tag naming; sites with inconsistent tag descriptions and missing asset context spend months on data preparation before the search features are usable.
  • Licensing is by named analyst user, and the population who genuinely use pattern search is small, so organisations that buy broadly pay for seats that log in occasionally.
  • It reads history but does not fix it: there is no data collection layer, so an existing historian is mandatory and TrendMiner is always an additional cost on top of it.

Pricing, plan by plan

Sight Machine

On request
  • Sight Machine$undefined/year
    • Enterprise manufacturing data platform
    • Per plant onboarding and modelling services
    • Cross site analytics and benchmarking

TrendMiner

On request
  • TrendMiner$undefined/year
    • Annual subscription sized by named users and connected historian tag volume
    • Separate licence tiers for full analyst users and view-only dashboard consumers
    • Historian connectors quoted per source system

Which should you pick?

Choose Sight Machine if

  • You need unified plant data model.
  • You work on Web, API.
  • You also want broad ingestion.
Sight Machine review

Choose TrendMiner if

  • You need pattern search.
  • You work on Web, Windows, Linux.
  • You also want value-based search.
TrendMiner review

Questions people ask

Is Sight Machine or TrendMiner better?
Neither clearly leads. Sight Machine starts at On request and TrendMiner at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Sight Machine or TrendMiner?
Sight Machine starts at On request and TrendMiner at On request.
Does Sight Machine or TrendMiner run on more platforms?
Sight Machine runs on Web, API. TrendMiner runs on Web, Windows, Linux.
What is Sight Machine best used for?
Sight Machine is most often used for a corporate operations team that cannot compare plant performance because every site defines a stoppage differently, a manufacturer whose historian data is plentiful but has never been modelled into anything a business can query, a group standardising manufacturing reporting into a cloud data warehouse alongside finance and supply chain data, a quality organisation investigating a defect that appears at several plants with different equipment. Of those, a corporate operations team that cannot compare plant performance because every site defines a stoppage differently and a manufacturer whose historian data is plentiful but has never been modelled into anything a business can query are not what TrendMiner is typically brought in for.
What can Sight Machine do that TrendMiner cannot?
Sight Machine covers Unified plant data model, Broad ingestion, Cross plant benchmarking, Root cause analysis. TrendMiner covers Pattern search, Value-based search, Monitors, Soft sensors.

Answered from the vendors’ own pages

Sight Machine: Is this an OEE product?

It can produce OEE, but buying it for OEE alone is expensive. The reason to buy it is cross plant data standardisation.

TrendMiner: Who owns TrendMiner now?

Proemion, a German industrial analytics company backed by Battery Ventures, which bought it from Software AG for 47 million euros in 2024.

Sight Machine: Does it need a historian?

It reads from historians, control systems and MES. Some source of machine data is a prerequisite.

TrendMiner: Does it replace my historian?

No. It connects to PI, IP.21, PHD, Exaquantum and others and reads from them. The historian remains the system of record.

Sight Machine: How long does a plant take to onboard?

Plan in months per plant, depending on how many sources and how inconsistent the existing definitions are.

TrendMiner: Do I need a data scientist to use it?

No, and that is the point. The pattern search and soft sensor tooling are aimed at process engineers with no coding background.

Sight Machine: Who is the buyer?

A corporate manufacturing, quality or digital function. It is rarely a plant level purchase.

TrendMiner: Is pricing per user?

Yes, largely, with tiers for analyst and view-only access plus charges for historian connectors and data volume.

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