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Manufacturing · head to head

Duro PLM vs Seeq

Duro PLM logo

Duro PLM

Manufacturing

Hosted PLM for hardware startups, sold in fixed user bands with no published price

From
On request
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: Duro PLM no pricing is published anywhere, so budgeting requires a sales conversation and buyers cannot compare against alternatives without entering a pipeline.; 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: Duro PLM covers Part library, Seeq covers Query in place.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Duro PLM and Seeq actually diverge.

Attributes where Duro PLM and Seeq differ
AttributeDuro PLMSeeq
PlatformsWebWeb, Cloud, On-premise, 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 Duro PLM

  • Part library
  • Multi-level BOMs
  • Change orders
  • CAD integrations
  • Supplier and cost data
  • User band plans

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.

Duro PLM

  • A robotics startup imposing change control on a design before releasing it to a contract manufacturernot Seeq
  • A consumer electronics team tracking supplier part numbers and costs against every item in the BOMnot Seeq
  • A hardware company whose engineers keep overwriting each other's BOM spreadsheet versionsnot Seeq
  • A venture-funded startup that needs a defensible change history before a first production buildnot Seeq

Seeq

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

Where each one falls short

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

Duro PLM

  • No pricing is published anywhere, so budgeting requires a sales conversation and buyers cannot compare against alternatives without entering a pipeline.
  • Plans are sold in fixed user bands rather than per seat, so hiring an eleventh engineer moves you to the next tier instead of adding one seat.
  • Storage allowances are capped at 25, 50 and 100 GB, which is tight for teams keeping native CAD files rather than only neutral formats.
  • There is no self-hosted or on-premises option, which rules Duro out for defence and some aerospace suppliers with data residency or ITAR handling constraints.
  • Scope stops at engineering data: no requirements management, no quality module and no manufacturing process planning, so it does not replace the systems a company needs at production scale.

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

Duro PLM

On request
  • Team$undefined/year
    • Up to 10 users
    • 25 GB data storage
    • Part library, BOMs and change orders
  • Business$undefined/year
    • Up to 20 users
    • 50 GB data storage
    • CAD integrations
  • Enterprise$undefined/year
    • 20 or more users
    • 100 GB data storage
    • Extended support

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 Duro PLM if

  • You need part library.
  • You also want multi-level boms.

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 Duro PLM or Seeq better?
Neither clearly leads. Duro PLM starts at On request and Seeq at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Duro PLM or Seeq?
Duro PLM starts at On request and Seeq at On request.
Does Duro PLM or Seeq run on more platforms?
Duro PLM runs on Web. Seeq runs on Web, Cloud, On-premise, Windows, Linux.
What is Duro PLM best used for?
Duro PLM is most often used for a robotics startup imposing change control on a design before releasing it to a contract manufacturer, a consumer electronics team tracking supplier part numbers and costs against every item in the bom, a hardware company whose engineers keep overwriting each other's bom spreadsheet versions, a venture-funded startup that needs a defensible change history before a first production build. Of those, a robotics startup imposing change control on a design before releasing it to a contract manufacturer and a consumer electronics team tracking supplier part numbers and costs against every item in the bom are not what Seeq is typically brought in for.
What can Duro PLM do that Seeq cannot?
Duro PLM covers Part library, Multi-level BOMs, Change orders, CAD integrations. Seeq covers Query in place, Capsules, Asset trees, Seeq Data Lab.

Answered from the vendors’ own pages

Duro PLM: How much does Duro cost?

Duro does not publish prices. Plans are fixed annual subscriptions quoted by sales against a user band, billed Net 30.

Seeq: Does Seeq store my data?

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

Duro PLM: Can I run Duro on my own servers?

No. It is cloud only, which is a hard blocker for organisations with data residency or export control requirements.

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.

Duro PLM: What happens when we exceed our user band?

You move to the next tier rather than adding individual seats, so growth arrives as a step change in cost.

Seeq: How is it licensed?

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

Duro PLM: Is Duro suitable for medical device work?

Its change control is real but the workflow configuration and audit depth are lighter than dedicated regulated-industry PLM, so most ISO 13485 programmes need more.

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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