Field Service · head to head
Redlist vs Seeq

Redlist
Field Service
Maintenance software built around lubrication programmes rather than bolting them on
- From
- On request
- Rated
- -

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: Redlist no pricing is published by the vendor, and the four licence types have different capabilities, so the only way to size a budget is a quote and the widely repeated per-user figures come from review sites.; 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: Redlist covers Lubrication routes, Seeq covers Query in place.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Redlist and Seeq actually diverge.
Identical on both: starting price (On request), pricing model (quote), 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 Redlist
- Lubrication routes
- Lubricant cross-reference
- Oil analysis integration
- Role-based licences
- Offline mobile app
- Work order management
- Scheduling and dispatch
- Contamination control
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.
Redlist
- A mine whose failure analysis repeatedly identifies lubrication error and needs evidence of what went into each pointnot Seeq
- A plant changing lubricant suppliers that must cross-reference hundreds of equivalent products without mixing incompatible greasesnot Seeq
- Oilfield service crews recording completed work offline at remote sites and syncing when back in coveragenot Seeq
- An operation combining oil analysis laboratory results with maintenance history to justify extending oil change intervalsnot Seeq
Seeq
- A pharmaceutical plant comparing hundreds of batches against a golden batch profile without exporting historian data into spreadsheetsnot Redlist
- A reliability engineer investigating why a compressor trips, needing to overlay vibration, process and maintenance data across two years of historynot Redlist
- Refinery process engineers building a recurring shift report that pulls live values rather than being rebuilt by hand each weeknot Redlist
- A site whose data lake project has stalled and that needs engineers analysing plant history now, without waiting for an ingestion pipelinenot Redlist
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Redlist
- No pricing is published by the vendor, and the four licence types have different capabilities, so the only way to size a budget is a quote and the widely repeated per-user figures come from review sites.
- Cost scales with licensed users, which is awkward for operations with large numbers of technicians who each need only to record a completed lubrication route.
- Outside lubrication the CMMS is ordinary, so organisations without a lubrication-driven failure problem pay a specialist price for general functionality.
- The customer base and support presence are North American, which affects response times, lubricant catalogue coverage and reference availability elsewhere.
- The integration list is short compared with established CMMS platforms, so connecting to an ERP or a plant historian is likely to need custom API work.
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
Redlist
On request- Redlist$undefined/month
- Priced per user across four licence types: Collect, Complete, Create and Connect
- Licence mix rather than asset count drives the total cost
- Lubrication management and CMMS sold as separable product areas
Seeq
On request- Seeq$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 Redlist if
- You need lubrication routes.
- You work on Web, iOS, Android.
- You also want lubricant cross-reference.
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 Redlist or Seeq better?
- Neither clearly leads. Redlist 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, Redlist or Seeq?
- Redlist starts at On request and Seeq at On request.
- Does Redlist or Seeq run on more platforms?
- Redlist runs on Web, iOS, Android. Seeq runs on Web, Cloud, On-premise, Windows, Linux.
- What is Redlist best used for?
- Redlist is most often used for a mine whose failure analysis repeatedly identifies lubrication error and needs evidence of what went into each point, a plant changing lubricant suppliers that must cross-reference hundreds of equivalent products without mixing incompatible greases, oilfield service crews recording completed work offline at remote sites and syncing when back in coverage, an operation combining oil analysis laboratory results with maintenance history to justify extending oil change intervals. Of those, a mine whose failure analysis repeatedly identifies lubrication error and needs evidence of what went into each point and a plant changing lubricant suppliers that must cross-reference hundreds of equivalent products without mixing incompatible greases are not what Seeq is typically brought in for.
- What can Redlist do that Seeq cannot?
- Redlist covers Lubrication routes, Lubricant cross-reference, Oil analysis integration, Role-based licences. Seeq covers Query in place, Capsules, Asset trees, Seeq Data Lab.
Answered from the vendors’ own pages
Redlist: Is Redlist only for lubrication?
No, it is a full CMMS with work orders and scheduling, but lubrication management is the reason most customers choose it.
Seeq: Does Seeq store my data?
No. It queries connected historians and databases in place. Removing Seeq leaves your data exactly where it was.
Redlist: How is it licensed?
Per user, across four licence types with different capabilities, rather than by asset count.
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.
Redlist: Does it publish prices?
No. Figures circulating on review sites are not vendor-published and should not be used to set a budget.
Seeq: How is it licensed?
Per named user, with some historian connectors charged separately. Nothing is published; every number comes from a quote.
Redlist: Can technicians use it without signal?
Yes, the mobile app captures work offline and syncs later, which is the normal case in mining and oilfield sites.
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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