Software · head to head
Kustomer vs Rasa
The short version
- Only Rasa has a free tier, so it costs nothing to try first.
- Each has a real cost: Kustomer pricing not published; requires customised sales assessment and quote for exact costs; Rasa free Developer Edition caps conversations at 1,000 external or 100 internal per company per month
- They diverge on capability: Kustomer covers Unified customer view, Rasa covers NLU engine.
Where they differ
Only the attributes on which Kustomer and Rasa actually diverge.
Identical on both: 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 Kustomer
- Unified customer view
- AI automation
- Omnichannel
- Workflow automation
- Knowledge base
- Analytics
- Shopify
- Magento
Only in Rasa
- NLU engine
- Dialogue management
- Multi-language support
- Testing tools
- Slack
- Teams
- Custom channels
- API
What people use each for
The jobs each tool is most often brought in to do.
Kustomer
- Large B2C and B2B organisations managing 600+ customer support interactions across omnichannel platformsnot Rasa
- Retail, financial services, travel and hospitality sectors requiring integrated AI-powered supportnot Rasa
- Enterprises seeking customer 360 views and advanced workflow automationnot Rasa
Rasa
- Developers self-hosting an open source conversational AI framework before needing enterprise scalenot Kustomer
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Kustomer
- Pricing not published; requires customised sales assessment and quote for exact costs
- Voice (call), SMS, and WhatsApp support operate on separate pay-as-you-go pricing models
- Customisation-based pricing structure means no transparent cost comparison with competitors
Rasa
- Free Developer Edition caps conversations at 1,000 external or 100 internal per company per month
- Rasa Pro and the Business Plan (Pro plus Studio) are not priced on the site and require contacting sales
Pricing, plan by plan
Kustomer
On requestNo published plan breakdown. See the Kustomer review.
Rasa
Free- Open SourceFree
- Full framework access
- Community support
- Rasa Pro$50/month
- Additional tools
- Priority support
- Enterprise$undefined/month
- Advanced features
- Dedicated support
Which should you pick?
Choose Kustomer if
- You need unified customer view.
- You work on Web, Cloud.
- You also want ai automation.
Choose Rasa if
- You need nlu engine.
- You want to start without paying.
- You work on On-premise, Cloud deployment, Docker, Kubernetes.
- You also want dialogue management.
Questions people ask
- Is Kustomer or Rasa better?
- Neither clearly leads. Kustomer starts at On request and Rasa at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Kustomer or Rasa?
- Rasa has a free tier; the other does not. Paid plans start at On request for Kustomer and Free for Rasa.
- Does Kustomer or Rasa run on more platforms?
- Kustomer runs on Web, Cloud. Rasa runs on On-premise, Cloud deployment, Docker, Kubernetes.
- Can I use Rasa for free?
- Yes. Rasa has a free tier, so you can try it without paying. Kustomer starts at On request.
- What is Kustomer best used for?
- Kustomer is most often used for large b2c and b2b organisations managing 600+ customer support interactions across omnichannel platforms, retail, financial services, travel and hospitality sectors requiring integrated ai-powered support, enterprises seeking customer 360 views and advanced workflow automation. Of those, large b2c and b2b organisations managing 600+ customer support interactions across omnichannel platforms and retail, financial services, travel and hospitality sectors requiring integrated ai-powered support are not what Rasa is typically brought in for.
- What can Kustomer do that Rasa cannot?
- Kustomer covers Unified customer view, AI automation, Omnichannel, Workflow automation. Rasa covers NLU engine, Dialogue management, Multi-language support, Testing tools.
Related pages
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