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Manufacturing · head to head

Propel vs Sight Machine

Propel logo

Propel

Manufacturing

PLM, quality and product information management built on the Salesforce platform

From
On request
Rated
-
Sight Machine logo

Sight Machine

Manufacturing

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

From
On request
Rated
-

The short version

  • Each has a real cost: Propel your product data lives in a Salesforce org, so a future decision to leave Salesforce becomes a PLM migration as well as a CRM one, and the extraction is not trivial.; 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.
  • They diverge on capability: Propel covers Item and BOM management, Sight Machine covers Unified plant data model.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

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

Attributes where Propel and Sight Machine differ
AttributePropelSight Machine
PlatformsWeb, iOS, Android, Cloud, APIWeb, API

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 Propel

  • Item and BOM management
  • Change management
  • Quality management
  • Product information management
  • Supplier collaboration
  • Native Salesforce
  • Licence types

Only in Sight Machine

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

What people use each for

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

Propel

  • A medical device company needing linked design control and CAPA records for an ISO 13485 audit without an on-premise PLM programmenot Sight Machine
  • A consumer products firm publishing the same product record to engineering, packaging and e-commerce teamsnot Sight Machine
  • A company already standardised on Salesforce that wants product data governed with the same admin skills as the CRMnot Sight Machine
  • A hardware manufacturer routing customer complaints straight to the part revision and supplier that caused themnot Sight Machine

Sight Machine

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

Where each one falls short

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

Propel

  • Your product data lives in a Salesforce org, so a future decision to leave Salesforce becomes a PLM migration as well as a CRM one, and the extraction is not trivial.
  • CAD data management is handled through connectors rather than natively; Propel manages metadata and files well but is not a substitute for a CAD vault on large assemblies.
  • The published cost bands are extremely wide, from 10,000 to 500,000 US dollars a year, and setup can approach the annual licence, so early budgeting without a scoped quote is close to meaningless.
  • Licence roles are split across Performance, Quality, Enrichment, Collaboration and Partner types, and buyers frequently discover mid-project that a user needs a more expensive role than budgeted.
  • Salesforce platform limits such as governor limits, API call ceilings and storage allowances apply, and organisations with very large BOMs or heavy integration traffic hit them in ways a purpose-built PLM would not surface.

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.

Pricing, plan by plan

Propel

On request
  • Propel$undefined/year
    • Annual user-based licensing in role types
    • Salesforce platform access included in each licence
    • Indicative small deployment band of 10,000 to 150,000 USD a year plus 10,000 to 25,000 setup

Sight Machine

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

Which should you pick?

Choose Propel if

  • You need item and bom management.
  • You work on Web, iOS, Android, Cloud, API.
  • You also want change management.

Choose Sight Machine if

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

Questions people ask

Is Propel or Sight Machine better?
Neither clearly leads. Propel starts at On request and Sight Machine at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Propel or Sight Machine?
Propel starts at On request and Sight Machine at On request.
Does Propel or Sight Machine run on more platforms?
Propel runs on Web, iOS, Android, Cloud, API. Sight Machine runs on Web, API.
What is Propel best used for?
Propel is most often used for a medical device company needing linked design control and capa records for an iso 13485 audit without an on-premise plm programme, a consumer products firm publishing the same product record to engineering, packaging and e-commerce teams, a company already standardised on salesforce that wants product data governed with the same admin skills as the crm, a hardware manufacturer routing customer complaints straight to the part revision and supplier that caused them. Of those, a medical device company needing linked design control and capa records for an iso 13485 audit without an on-premise plm programme and a consumer products firm publishing the same product record to engineering, packaging and e-commerce teams are not what Sight Machine is typically brought in for.
What can Propel do that Sight Machine cannot?
Propel covers Item and BOM management, Change management, Quality management, Product information management. Sight Machine covers Unified plant data model, Broad ingestion, Cross plant benchmarking, Root cause analysis.

Answered from the vendors’ own pages

Propel: Do I need to buy Salesforce separately?

No. Each Propel licence includes Salesforce platform access, and end users do not need their own Salesforce licences or Salesforce expertise.

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.

Propel: Does being on Salesforce lock me in?

Practically, yes. The application, its configuration and your product data all sit in a Salesforce org, which is a real consideration at renewal.

Sight Machine: Does it need a historian?

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

Propel: What does it cost?

Propel publishes indicative bands rather than list prices: roughly 10,000 to 150,000 US dollars a year for a small deployment and 250,000 to 500,000 for a large one, plus setup.

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.

Propel: Is it suitable for regulated medical devices?

Yes, that is a core segment; the quality module covers CAPA, non-conformance, audits and training records with electronic signatures.

Sight Machine: Who is the buyer?

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

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