Manufacturing · head to head
JobBOSS² vs Seeq

JobBOSS²
Manufacturing
ECI shop control system formed by merging JobBOSS and E2 Shop System into one product line
- 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: JobBOSS² the product is a merger of two legacy systems, so existing JobBOSS and E2 customers face a migration and retraining project whose cost is negotiated case by case and is easy to underestimate.; 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: JobBOSS² covers Estimating and quoting, Seeq covers Query in place.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which JobBOSS² and Seeq actually diverge.
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 JobBOSS²
- Estimating and quoting
- Order and job management
- Shop floor data collection
- Scheduling
- Job costing
- Integrated accounting
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.
JobBOSS²
- A job shop quoting from spreadsheets that wants estimating, routing and costing in one systemnot Seeq
- An existing JobBOSS or E2 Shop System customer evaluating whether to migrate or replacenot Seeq
- A make to order fabricator that needs accounting inside the manufacturing system rather than alongside itnot Seeq
- A shop that wants operator time capture at work centres to make job costing reflect what actually happenednot Seeq
Seeq
- A pharmaceutical plant comparing hundreds of batches against a golden batch profile without exporting historian data into spreadsheetsnot JobBOSS²
- A reliability engineer investigating why a compressor trips, needing to overlay vibration, process and maintenance data across two years of historynot JobBOSS²
- Refinery process engineers building a recurring shift report that pulls live values rather than being rebuilt by hand each weeknot JobBOSS²
- A site whose data lake project has stalled and that needs engineers analysing plant history now, without waiting for an ingestion pipelinenot JobBOSS²
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
JobBOSS²
- The product is a merger of two legacy systems, so existing JobBOSS and E2 customers face a migration and retraining project whose cost is negotiated case by case and is easy to underestimate.
- ECI is a private equity owned portfolio company with many vertical products, and buyers should read renewal, uplift and support tier terms carefully because the commercial model is built around long term contracted revenue.
- Machine connectivity is limited, so shop floor data comes from operators clocking in and out rather than from controllers, and any automatic utilisation measurement needs a separate monitoring product.
- Reporting is rigid compared with a modern system and most shops end up exporting to Excel for anything beyond the supplied reports, which reintroduces the spreadsheets the system was bought to eliminate.
- The user interface carries its lineage and takes longer to learn than a current generation web application, which matters most for occasional users such as estimators and purchasing staff.
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
JobBOSS²
On request- JobBOSS²$undefined/year
- Quoting through invoicing for job shops
- Shop floor data collection and scheduling
- Hosted or on premises deployment
Seeq
On request- Seeq$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 JobBOSS² if
- You need estimating and quoting.
- You work on Windows, Web.
- You also want order and job management.
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 JobBOSS² or Seeq better?
- Neither clearly leads. JobBOSS² 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, JobBOSS² or Seeq?
- JobBOSS² starts at On request and Seeq at On request.
- Does JobBOSS² or Seeq run on more platforms?
- JobBOSS² runs on Windows, Web. Seeq runs on Web, Cloud, On-premise, Windows, Linux.
- What is JobBOSS² best used for?
- JobBOSS² is most often used for a job shop quoting from spreadsheets that wants estimating, routing and costing in one system, an existing jobboss or e2 shop system customer evaluating whether to migrate or replace, a make to order fabricator that needs accounting inside the manufacturing system rather than alongside it, a shop that wants operator time capture at work centres to make job costing reflect what actually happened. Of those, a job shop quoting from spreadsheets that wants estimating, routing and costing in one system and an existing jobboss or e2 shop system customer evaluating whether to migrate or replace are not what Seeq is typically brought in for.
- What can JobBOSS² do that Seeq cannot?
- JobBOSS² covers Estimating and quoting, Order and job management, Shop floor data collection, Scheduling. Seeq covers Query in place, Capsules, Asset trees, Seeq Data Lab.
Answered from the vendors’ own pages
JobBOSS²: What happened to E2 Shop System?
ECI acquired it and merged it with JobBOSS into the combined JobBOSS² line. Legacy customers are directed towards migration.
Seeq: Does Seeq store my data?
No. It queries connected historians and databases in place. Removing Seeq leaves your data exactly where it was.
JobBOSS²: Is it cloud based?
It is offered hosted and on premises. Hosted is not the same as a cloud native architecture, and performance expectations should be set accordingly.
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.
JobBOSS²: Does it include accounting?
Yes, accounting is part of the product, which is one of the main reasons small shops choose it over an ERP plus separate finance package.
Seeq: How is it licensed?
Per named user, with some historian connectors charged separately. Nothing is published; every number comes from a quote.
JobBOSS²: Can it read data from my CNC machines?
Not natively in any meaningful way. Data collection is operator driven, so shops wanting spindle level data buy a monitoring platform alongside it.
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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