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Software · head to head

Backbone PLM vs Wave PLM

Backbone PLM logo

Backbone PLM

Software

Product Lifecycle Management solution for fashion brands

From
€150/month
Rated
-
Wave PLM logo

Wave PLM

Software

Agile PLM solution for fashion and apparel

From
$250/month
Rated
-

The short version

  • Each has a real cost: 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; 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
  • They diverge on capability: Backbone PLM covers Product data management, Wave PLM covers Agile workflows.

Where they differ

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

Attributes where Backbone PLM and Wave PLM differ
AttributeBackbone PLMWave PLM
Starting price€150/month$250/month
PlatformsWebWindows, Mac, Web
Founded20102016

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 Backbone PLM

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

Only in Wave PLM

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

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.

Backbone PLM

  • Product lifecycle managementnot Wave PLM

Wave PLM

  • Agile product developmentnot Backbone PLM

Where each one falls short

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

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

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

Pricing, plan by plan

Backbone PLM

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

Wave PLM

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

Which should you pick?

Choose Backbone PLM if

  • You need product data management.
  • You also want workflow management.

Choose Wave PLM if

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

Questions people ask

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

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