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Wave PLM vs Backbone PLM

Wave PLM logo

Wave PLM

Software

Agile PLM solution for fashion and apparel

From
$250/month
Rated
-
Full reviewWebsite
Backbone PLM logo

Backbone PLM

Software

Product Lifecycle Management solution for fashion brands

From
€150/month
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Wave PLM starter plan requires a minimum of 10 users at $120 per user per month billed annually, and the Professional plan requires a minimum of 50 users at $100 per user per month billed annually; Backbone PLM bamboo Rose states Backbone is now part of Bamboo Rose TotalPLM and that Backbone PLM remains supported for existing customers only, with TotalPLM as the flagship, and publishes no pricing for either
  • They diverge on capability: Wave PLM covers Agile workflows, Backbone PLM covers Product data management.

Where they differ

Only the attributes on which Wave PLM and Backbone PLM actually diverge.

Attributes where Wave PLM and Backbone PLM differ
AttributeWave PLMBackbone PLM
Starting price$250/month€150/month
PlatformsWindows, Mac, WebWeb
Founded20162010

Identical on both: pricing model (subscription), free tier (No), user rating (Not yet rated), category (Unknown).

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 Wave PLM

  • Agile workflows
  • Product management
  • Team collaboration
  • Real-time visibility
  • Task management
  • Document control
  • Jira
  • Slack

Only in Backbone PLM

  • Product data management
  • Workflow management
  • Collaboration
  • Reporting
  • CAD systems
  • ERP
  • Email
  • Encryption

Both cover

  • Cloud deployment
  • Web support
  • English language support

What people use each for

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

Wave PLM

  • Agile product developmentnot Backbone PLM

Backbone PLM

  • Product lifecycle managementnot Wave PLM

Where each one falls short

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

Wave PLM

  • Starter plan requires a minimum of 10 users at $120 per user per month billed annually, and the Professional plan requires a minimum of 50 users at $100 per user per month billed annually
  • The Wave AI add-on is priced separately from the base plan, starting at $25 per user per month billed annually

Backbone PLM

  • Bamboo Rose states Backbone is now part of Bamboo Rose TotalPLM and that Backbone PLM remains supported for existing customers only, with TotalPLM as the flagship, and publishes no pricing for either

Pricing, plan by plan

Wave PLM

$250/month
  • Starter$250/month
    • Core PLM
    • Basic features
  • Growth$600/month
    • Advanced features
  • Enterprise$undefined/month
    • Full suite

Backbone PLM

€150/month
  • Starter$150/month
    • Basic PLM
    • Limited users
  • Enterprise$undefined/month
    • Full PLM
    • Unlimited users
    • Integrations

Which should you pick?

Choose Wave PLM if

  • You need agile workflows.
  • You work on Windows, Mac, Web.
  • You also want product management.
Wave PLM review

Choose Backbone PLM if

  • You need product data management.
  • You also want workflow management.
Backbone PLM review

Questions people ask

Is Wave PLM or Backbone PLM better?
Neither clearly leads. Wave PLM starts at $250/month and Backbone PLM at €150/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Wave PLM or Backbone PLM?
Wave PLM starts at $250/month and Backbone PLM at €150/month.
Does Wave PLM or Backbone PLM run on more platforms?
Wave PLM runs on Windows, Mac, Web. Backbone PLM runs on Web.
What is Wave PLM best used for?
Wave PLM is most often used for agile product development. Of those, agile product development is not what Backbone PLM is typically brought in for.
What can Wave PLM do that Backbone PLM cannot?
Wave PLM covers Agile workflows, Product management, Team collaboration, Real-time visibility. Backbone PLM covers Product data management, Workflow management, Collaboration, Reporting. Both handle Cloud deployment, Web support, English language support.
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Related pages

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