Softwr

Manufacturing · head to head

Litmus Edge vs Sight Machine

Litmus Edge logo

Litmus Edge

Manufacturing

Industrial edge platform that collects, normalises and forwards OT data to cloud and enterprise systems

From
$1500/month
Rated
-
Full reviewWebsite
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

The short version

  • Each has a real cost: Litmus Edge pricing is by site and data point, so a large tag count at one plant can cost more than a modest tag count spread over several, which is the opposite of how most manufacturers plan a rollout.; 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: Litmus Edge covers Prebuilt driver library, Sight Machine covers Unified plant data model.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Litmus Edge and Sight Machine actually diverge.

Attributes where Litmus Edge and Sight Machine differ
AttributeLitmus EdgeSight Machine
Starting price$1500/monthOn request
Pricing modelPer site by data point countquote
PlatformsLinux, Docker, Kubernetes, Cloud, On-premiseWeb, API

Identical on both: 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 Litmus Edge

  • Prebuilt driver library
  • Unified data model
  • Litmus Edge Manager
  • Edge applications
  • Store and forward
  • Cloud and broker outputs

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.

Litmus Edge

  • A manufacturer with twenty plants and five PLC brands that needs one data acquisition standard rather than twenty bespoke integrationsnot Sight Machine
  • Feeding a cloud data warehouse or lakehouse with normalised production data without asking the controls team to write cloud connectorsnot Sight Machine
  • Retrofitting data collection onto old CNC machines and robots where the protocol support is the hard part, not the analyticsnot Sight Machine
  • Adding local buffering and computation at sites with unreliable WAN links so cloud outages do not create gaps in production historynot Sight Machine

Sight Machine

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

Where each one falls short

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

Litmus Edge

  • Pricing is by site and data point, so a large tag count at one plant can cost more than a modest tag count spread over several, which is the opposite of how most manufacturers plan a rollout.
  • The entry package sits around $1,500 per month, an awkward number for a single-site pilot given that the product is infrastructure with no visible output of its own until something downstream consumes it.
  • Litmus does no analytics, so the business case always depends on a second purchase; the platform on its own produces no result a plant manager can see.
  • Full pricing beyond the entry tier is not published and the Growth and Scale packages are quoted, so scaling costs are unknown at the point you commit to the architecture.
  • A capable controls team can approximate a single-site deployment with an open-source broker and a driver gateway for a fraction of the cost, so the value case depends entirely on how many sites you are managing centrally.

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

Litmus Edge

$1500/month
  • Foundation$1500/month
    • Entry package sized by site count and data points
    • Core driver library and edge runtime
    • Store and forward to cloud and brokers
  • Growth$undefined/month
    • Larger site and data point allowance
    • Litmus Edge Manager fleet management
    • Priced on application
  • Scale$undefined/month
    • Enterprise multi-site deployment
    • Higher data point ceilings and support tier
    • Priced on application

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 Litmus Edge if

  • You need prebuilt driver library.
  • You work on Linux, Docker, Kubernetes, Cloud, On-premise.
  • You also want unified data model.
Litmus Edge review

Choose Sight Machine if

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

Questions people ask

Is Litmus Edge or Sight Machine better?
Neither clearly leads. Litmus Edge starts at $1500/month and Sight Machine at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Litmus Edge or Sight Machine?
Litmus Edge starts at $1500/month and Sight Machine at On request.
Does Litmus Edge or Sight Machine run on more platforms?
Litmus Edge runs on Linux, Docker, Kubernetes, Cloud, On-premise. Sight Machine runs on Web, API.
What is Litmus Edge best used for?
Litmus Edge is most often used for a manufacturer with twenty plants and five plc brands that needs one data acquisition standard rather than twenty bespoke integrations, feeding a cloud data warehouse or lakehouse with normalised production data without asking the controls team to write cloud connectors, retrofitting data collection onto old cnc machines and robots where the protocol support is the hard part, not the analytics, adding local buffering and computation at sites with unreliable wan links so cloud outages do not create gaps in production history. Of those, a manufacturer with twenty plants and five plc brands that needs one data acquisition standard rather than twenty bespoke integrations and feeding a cloud data warehouse or lakehouse with normalised production data without asking the controls team to write cloud connectors are not what Sight Machine is typically brought in for.
What can Litmus Edge do that Sight Machine cannot?
Litmus Edge covers Prebuilt driver library, Unified data model, Litmus Edge Manager, Edge applications. Sight Machine covers Unified plant data model, Broad ingestion, Cross plant benchmarking, Root cause analysis.

Answered from the vendors’ own pages

Litmus Edge: Does Litmus Edge do analytics or dashboards?

Only lightweight edge computation and basic visualisation. It is a data acquisition and normalisation layer; the analysis happens in whatever you send the data to.

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.

Litmus Edge: How is it priced?

By number of sites and number of data points, in packages. The entry package starts around $1,500 per month; larger tiers are quoted.

Sight Machine: Does it need a historian?

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

Litmus Edge: Can it replace my historian?

No. It buffers and forwards but is not a long-term historian. Most deployments send data into a historian, warehouse or lakehouse.

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.

Litmus Edge: Does it need Litmus hardware?

No. It runs on standard industrial PCs, virtual machines or containers; there is no proprietary appliance requirement.

Sight Machine: Who is the buyer?

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

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