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Manufacturing · head to head

IBM Maximo Application Suite vs Seeq

IBM Maximo Application Suite logo

IBM Maximo Application Suite

Manufacturing

Enterprise asset management suite licensed by a shared pool of AppPoints rather than by named user

From
$3150/month
Rated
-
Seeq logo

Seeq

Manufacturing

Self-service analytics for process manufacturing time-series data sitting on top of existing historians

From
On request
Rated
-

The short version

  • Each has a real cost: IBM Maximo Application Suite appPoints are consumed by users, applications and environments at once, so a routine decision like adding a test environment or enabling Health quietly eats pool capacity and can trigger a true-up nobody budgeted for.; Seeq named-user pricing suits a small core team but scales badly: a site wanting a hundred engineers with occasional access pays for a hundred licences that mostly sit idle, which is why deployments often stay artificially narrow.
  • They diverge on capability: IBM Maximo Application Suite covers AppPoint pooling, Seeq covers Query in place.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which IBM Maximo Application Suite and Seeq actually diverge.

Attributes where IBM Maximo Application Suite and Seeq differ
AttributeIBM Maximo Application SuiteSeeq
Starting price$3150/monthOn request
Pricing modelPer year by AppPoint poolquote
PlatformsWeb, Cloud, On-premise, iOS, Android, LinuxWeb, Cloud, On-premise, Windows, Linux

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 IBM Maximo Application Suite

  • AppPoint pooling
  • Maximo Manage
  • Maximo Health and Predict
  • Maximo Visual Inspection
  • Industry solutions
  • OpenShift deployment

Only in Seeq

  • Query in place
  • Capsules
  • Asset trees
  • Seeq Data Lab
  • Organizer
  • Multi-source joins

What people use each for

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

IBM Maximo Application Suite

  • A transmission utility managing hundreds of thousands of linear and point assets with regulatory reporting that a mid-market CMMS cannot producenot Seeq
  • An airline or rail operator needing configuration control and maintenance history depth that survives a regulator audit going back yearsnot Seeq
  • A manufacturer wanting condition-based maintenance and work order execution in the same system rather than integrating a predictive tool to a separate CMMSnot Seeq
  • A defence or nuclear estate where the industry solution and long-term vendor viability matter more than the licence costnot Seeq

Seeq

  • A pharmaceutical plant comparing hundreds of batches against a golden batch profile without exporting historian data into spreadsheetsnot IBM Maximo Application Suite
  • A reliability engineer investigating why a compressor trips, needing to overlay vibration, process and maintenance data across two years of historynot IBM Maximo Application Suite
  • Refinery process engineers building a recurring shift report that pulls live values rather than being rebuilt by hand each weeknot IBM Maximo Application Suite
  • A site whose data lake project has stalled and that needs engineers analysing plant history now, without waiting for an ingestion pipelinenot IBM Maximo Application Suite

Where each one falls short

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

IBM Maximo Application Suite

  • AppPoints are consumed by users, applications and environments at once, so a routine decision like adding a test environment or enabling Health quietly eats pool capacity and can trigger a true-up nobody budgeted for.
  • Pools are commonly sized from headcount rather than concurrency and application mix, and licence reviews frequently find them over-provisioned by a large margin, meaning organisations pay for entitlement they never consume.
  • Implementation, data migration, customisation and integrator fees routinely cost two to three times the first-year licence, so a business case built on the subscription figure will be materially wrong.
  • MAS requires Red Hat OpenShift, which for a customer-hosted deployment adds a container platform, its licensing and the specialist administration skills to run it, none of which the previous standalone Maximo needed.
  • Maximo is deep and slow to change; configuration is a specialist skill, upgrades are projects rather than updates, and organisations without a dedicated Maximo team end up permanently dependent on an implementation partner.

Seeq

  • Named-user pricing suits a small core team but scales badly: a site wanting a hundred engineers with occasional access pays for a hundred licences that mostly sit idle, which is why deployments often stay artificially narrow.
  • Seeq inherits whatever quality exists in the historian, so plants with unstructured tag names and no asset model spend real effort building asset trees in Seeq that should have been fixed upstream.
  • Certain historian connectors are charged separately, so the licence quote and the actual cost of connecting your specific data sources are two different numbers.
  • It is analysis, not control or action; findings still have to be carried into a CMMS or a control change by hand, so value depends on a workflow Seeq does not provide.
  • The product assumes competent process engineers. Organisations without that skill in-house get little from it, because Seeq deliberately does not ship prebuilt failure models the way condition monitoring vendors do.

Pricing, plan by plan

IBM Maximo Application Suite

$3150/month
  • Essentials (SaaS)$3150/month
    • Entry SaaS tier for a small user population
    • One production environment
    • Core Manage functionality
  • Standard (SaaS)$undefined/month
    • Larger AppPoint pool
    • Additional applications and environments
    • Priced on application
  • Premium (SaaS)$undefined/month
    • Full application set including Predict and Visual Inspection
    • Multiple environments
    • Priced on application
  • Customer hosted$undefined/year
    • AppPoint entitlement bought outright and run on your own OpenShift cluster
    • Infrastructure, OpenShift and administration costs are yours
    • Annual support and subscription contract required

Seeq

On request
  • Seeq$undefined/year
    • Licensed per named user, not per tag
    • Separate charges for certain historian connectors
    • Cloud-hosted and self-hosted deployments quoted differently

Which should you pick?

Choose IBM Maximo Application Suite if

  • You need apppoint pooling.
  • You work on Web, Cloud, On-premise, iOS, Android, Linux.
  • You also want maximo manage.

Choose Seeq if

  • You need query in place.
  • You work on Web, Cloud, On-premise, Windows, Linux.
  • You also want capsules.

Questions people ask

Is IBM Maximo Application Suite or Seeq better?
Neither clearly leads. IBM Maximo Application Suite starts at $3150/month and Seeq at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, IBM Maximo Application Suite or Seeq?
IBM Maximo Application Suite starts at $3150/month and Seeq at On request.
Does IBM Maximo Application Suite or Seeq run on more platforms?
IBM Maximo Application Suite runs on Web, Cloud, On-premise, iOS, Android, Linux. Seeq runs on Web, Cloud, On-premise, Windows, Linux.
What is IBM Maximo Application Suite best used for?
IBM Maximo Application Suite is most often used for a transmission utility managing hundreds of thousands of linear and point assets with regulatory reporting that a mid-market cmms cannot produce, an airline or rail operator needing configuration control and maintenance history depth that survives a regulator audit going back years, a manufacturer wanting condition-based maintenance and work order execution in the same system rather than integrating a predictive tool to a separate cmms, a defence or nuclear estate where the industry solution and long-term vendor viability matter more than the licence cost. Of those, a transmission utility managing hundreds of thousands of linear and point assets with regulatory reporting that a mid-market cmms cannot produce and an airline or rail operator needing configuration control and maintenance history depth that survives a regulator audit going back years are not what Seeq is typically brought in for.
What can IBM Maximo Application Suite do that Seeq cannot?
IBM Maximo Application Suite covers AppPoint pooling, Maximo Manage, Maximo Health and Predict, Maximo Visual Inspection. Seeq covers Query in place, Capsules, Asset trees, Seeq Data Lab.

Answered from the vendors’ own pages

IBM Maximo Application Suite: Is Maximo still sold per user?

No. The Maximo Application Suite licenses a shared AppPoint pool consumed by users, applications and environments. Per-seat Maximo is the old model.

Seeq: Does Seeq store my data?

No. It queries connected historians and databases in place. Removing Seeq leaves your data exactly where it was.

IBM Maximo Application Suite: What does the entry SaaS tier cost?

The Essentials package starts around $3,150 per month for a small user population and one production environment. Larger tiers are quoted.

Seeq: Who owns Seeq?

It is an independent private company in Seattle, most recently funded by a 2024 growth round led by Sixth Street. It has not been taken over by a private equity buyer.

IBM Maximo Application Suite: Do non-production environments cost AppPoints?

Yes. Development, test and training environments draw from the same pool, which is the most common sizing surprise.

Seeq: How is it licensed?

Per named user, with some historian connectors charged separately. Nothing is published; every number comes from a quote.

IBM Maximo Application Suite: Can I run MAS without OpenShift?

No. OpenShift is the deployment platform whether you host it yourself or consume MAS as a service from IBM.

Seeq: Do I need a data scientist?

No, and that is the point. Workbench is aimed at process engineers. Data Lab exists for the minority who want Python.

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