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Automation Integration · head to head

HighByte Intelligence Hub vs Litmus Edge

HighByte Intelligence Hub logo

HighByte Intelligence Hub

Automation Integration

Industrial DataOps middleware that models and contextualises OT data before it reaches IT systems

From
$18500/year
Rated
-
Full reviewWebsite
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

The short version

  • Each has a real cost: HighByte Intelligence Hub it is subscription only with no perpetual licence, so the data pipelines are a permanent operating cost and stop working if the subscription lapses.; 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.
  • They diverge on capability: HighByte Intelligence Hub covers Data modelling, Litmus Edge covers Prebuilt driver library.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which HighByte Intelligence Hub and Litmus Edge actually diverge.

Attributes where HighByte Intelligence Hub and Litmus Edge differ
AttributeHighByte Intelligence HubLitmus Edge
Starting price$18500/year$1500/month
Pricing modelPer site per yearPer site by data point count
PlatformsWindows, Linux, DockerLinux, Docker, Kubernetes, Cloud, On-premise
CategoryAutomation IntegrationManufacturing

Identical on both: free tier (No), user rating (Not yet rated).

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 HighByte Intelligence Hub

  • Data modelling
  • Unified namespace
  • Pipelines
  • Connectors
  • High availability
  • Central configuration
  • REST data server

Only in Litmus Edge

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

Both cover

  • Store and forward

What people use each for

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

HighByte Intelligence Hub

  • A manufacturer replacing hand-written Python scripts that push historian tags to a cloud warehouse with a modelled, supportable pipelinenot Litmus Edge
  • A company building a unified namespace where OT payloads must carry asset context before they reach the brokernot Litmus Edge
  • A data centre operator aggregating building and power telemetry into one cloud model across a campusnot Litmus Edge
  • A team that needs PI System data joined with MES and ERP context without giving IT direct access to the control networknot Litmus Edge

Litmus Edge

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

Where each one falls short

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

HighByte Intelligence Hub

  • It is subscription only with no perpetual licence, so the data pipelines are a permanent operating cost and stop working if the subscription lapses.
  • Pricing is per site with a 18,500 USD floor, so a small plant or a proof of concept pays enterprise money for a handful of tags; there is no tag-scaled or starter tier.
  • The Hub does not store data. It has no historian, so a destination outage longer than the store-and-forward buffer means lost data and you still need a historian or warehouse underneath.
  • Definitions of a site and a plant are negotiated rather than published, which creates room for disagreement at renewal when a customer adds a building or a second line.
  • The product depends on a small vendor with a narrow focus; if your integration needs drift towards general ETL or streaming, you end up running HighByte alongside a separate data stack rather than instead of one.

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.

Pricing, plan by plan

HighByte Intelligence Hub

$18500/year
  • Professional$18500/year
    • Single plant or agreed coverage area
    • Unlimited data models and pipelines
    • High availability, embedded MQTT broker, PI System integration
  • Factory Starter Pack$50000/year
    • Three factories
    • Central configuration across instances
    • All premium features included
  • Data Center Starter Pack$65000/year
    • Single aggregation point in customer cloud
    • All premium features included
  • Enterprise$undefined/year
    • Unlimited installations under one annual contract
    • Negotiated multi-year and multi-site discounts
    • Quoted pricing

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

Which should you pick?

Choose HighByte Intelligence Hub if

  • You need data modelling.
  • You work on Windows, Linux, Docker.
  • You also want unified namespace.
HighByte Intelligence Hub review

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

Questions people ask

Is HighByte Intelligence Hub or Litmus Edge better?
Neither clearly leads. HighByte Intelligence Hub starts at $18500/year and Litmus Edge at $1500/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, HighByte Intelligence Hub or Litmus Edge?
HighByte Intelligence Hub starts at $18500/year and Litmus Edge at $1500/month.
Does HighByte Intelligence Hub or Litmus Edge run on more platforms?
HighByte Intelligence Hub runs on Windows, Linux, Docker. Litmus Edge runs on Linux, Docker, Kubernetes, Cloud, On-premise.
What is HighByte Intelligence Hub best used for?
HighByte Intelligence Hub is most often used for a manufacturer replacing hand-written python scripts that push historian tags to a cloud warehouse with a modelled, supportable pipeline, a company building a unified namespace where ot payloads must carry asset context before they reach the broker, a data centre operator aggregating building and power telemetry into one cloud model across a campus, a team that needs pi system data joined with mes and erp context without giving it direct access to the control network. Of those, a manufacturer replacing hand-written python scripts that push historian tags to a cloud warehouse with a modelled, supportable pipeline and a company building a unified namespace where ot payloads must carry asset context before they reach the broker are not what Litmus Edge is typically brought in for.
What can HighByte Intelligence Hub do that Litmus Edge cannot?
HighByte Intelligence Hub covers Data modelling, Unified namespace, Pipelines, Connectors. Litmus Edge covers Prebuilt driver library, Unified data model, Litmus Edge Manager, Edge applications. Both handle Store and forward.

Answered from the vendors’ own pages

HighByte Intelligence Hub: What does a HighByte licence actually cost?

18,500 USD per year for Professional covering one plant, 50,000 USD for three factories, 65,000 USD for a cloud data centre aggregation point.

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.

HighByte Intelligence Hub: Is pricing based on tag count?

No. All licences include unlimited data models and pipelines; the licence covers a coverage area, not a data volume.

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.

HighByte Intelligence Hub: Does HighByte store historical data?

No. It models and routes data in motion. You still need a historian or a warehouse as the destination.

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.

HighByte Intelligence Hub: Can I buy it perpetually?

No. It is an annual subscription only.

Litmus Edge: Does it need Litmus hardware?

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

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