Manufacturing · head to head
Oden Technologies vs Seeq

Oden Technologies
Manufacturing
Process analytics for continuous production, strongest in plastics extrusion and moulding
- 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: Oden Technologies the depth is in plastics and continuous processing, so a discrete job shop with short runs and frequent changeovers does not generate the repetition the analysis needs and will get little from it.; 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: Oden Technologies covers High frequency data collection, Seeq covers Query in place.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Oden Technologies and Seeq actually diverge.
| Attribute | Oden Technologies | Seeq |
|---|---|---|
| Platforms | Web, API | Web, 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 Oden Technologies
- High frequency data collection
- Reference run analysis
- Scrap and yield analytics
- Line and plant dashboards
- PLC and historian connectivity
- Alerting on process drift
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.
Oden Technologies
- A plastics extrusion plant losing material to scrap when settings drift between shifts and operatorsnot Seeq
- A moulder that wants to know which parameter combination produced its best historical run of a given partnot Seeq
- A continuous processor whose historian holds years of data that nobody has turned into operating guidancenot Seeq
- A multi site group wanting comparable line performance figures across plants that currently report differentlynot Seeq
Seeq
- A pharmaceutical plant comparing hundreds of batches against a golden batch profile without exporting historian data into spreadsheetsnot Oden Technologies
- A reliability engineer investigating why a compressor trips, needing to overlay vibration, process and maintenance data across two years of historynot Oden Technologies
- Refinery process engineers building a recurring shift report that pulls live values rather than being rebuilt by hand each weeknot Oden Technologies
- A site whose data lake project has stalled and that needs engineers analysing plant history now, without waiting for an ingestion pipelinenot Oden Technologies
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Oden Technologies
- The depth is in plastics and continuous processing, so a discrete job shop with short runs and frequent changeovers does not generate the repetition the analysis needs and will get little from it.
- It depends on fast process data from PLCs or a historian, so a plant with older machines that have no controller data must pay for instrumentation before the software does anything, which is the opposite of a low friction rollout.
- Realising the benefit requires process engineers who can act on the findings, and a plant without that capability ends up with analysis nobody converts into standard operating conditions.
- Pricing is per line and not published, so a plant with many small lines pays in proportion to line count rather than to output value, and the economics favour fewer high value lines.
- It overlaps with historian and SCADA investments a plant may already have, and buyers frequently have to justify why an existing AVEVA or Ignition estate cannot be made to do a version of the same job.
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
Oden Technologies
On request- Oden$undefined/year
- Per line data collection and analytics
- Reference run and yield analysis
- Connectivity to PLCs and historians
Seeq
On request- Seeq$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 Oden Technologies if
- You need high frequency data collection.
- You work on Web, API.
- You also want reference run analysis.
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 Oden Technologies or Seeq better?
- Neither clearly leads. Oden Technologies 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, Oden Technologies or Seeq?
- Oden Technologies starts at On request and Seeq at On request.
- Does Oden Technologies or Seeq run on more platforms?
- Oden Technologies runs on Web, API. Seeq runs on Web, Cloud, On-premise, Windows, Linux.
- What is Oden Technologies best used for?
- Oden Technologies is most often used for a plastics extrusion plant losing material to scrap when settings drift between shifts and operators, a moulder that wants to know which parameter combination produced its best historical run of a given part, a continuous processor whose historian holds years of data that nobody has turned into operating guidance, a multi site group wanting comparable line performance figures across plants that currently report differently. Of those, a plastics extrusion plant losing material to scrap when settings drift between shifts and operators and a moulder that wants to know which parameter combination produced its best historical run of a given part are not what Seeq is typically brought in for.
- What can Oden Technologies do that Seeq cannot?
- Oden Technologies covers High frequency data collection, Reference run analysis, Scrap and yield analytics, Line and plant dashboards. Seeq covers Query in place, Capsules, Asset trees, Seeq Data Lab.
Answered from the vendors’ own pages
Oden Technologies: Is it suitable for a machine shop?
Not really. It is built for continuous and repetitive high volume processes, not short run discrete machining.
Seeq: Does Seeq store my data?
No. It queries connected historians and databases in place. Removing Seeq leaves your data exactly where it was.
Oden Technologies: Does it need a historian?
No, it can collect directly from PLCs, but it will read from an existing historian where one is present.
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.
Oden Technologies: What is the main measurable outcome?
Scrap reduction and throughput improvement on repeated products, rather than labour savings.
Seeq: How is it licensed?
Per named user, with some historian connectors charged separately. Nothing is published; every number comes from a quote.
Oden Technologies: Will it work on machines without PLC data?
No. Those machines need instrumenting first, and that cost belongs in the business case.
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.
Related pages
More on Oden Technologies
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