Software · head to head
Ada vs Rasa
The short version
- Each has a real cost: Ada pricing is not published anywhere and requires a sales conversation; Rasa free Developer Edition caps conversations at 1,000 external or 100 internal per company per month
- They diverge on capability: Ada covers Conversational AI, Rasa covers NLU engine.
Where they differ
Only the attributes on which Ada and Rasa actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown), founded (2016).
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 Ada
- Conversational AI
- Automatic resolution
- Analytics
- Salesforce
- Zendesk
- Web support
- Mobile support
- SMS support
Only in Rasa
- NLU engine
- Dialogue management
- Testing tools
- Teams
- Custom channels
- On-premise support
- Cloud deployment support
- Docker support
Both cover
- Multi-language support
- Slack
- API
What people use each for
The jobs each tool is most often brought in to do.
Ada
- AI agents resolving customer queries over chat, voice and emailnot Rasa
- Deflecting repetitive contacts before they reach an agentnot Rasa
- Automating multi-step actions such as order lookups and returnsnot Rasa
- Multilingual support across a global customer basenot Rasa
Rasa
- Developers self-hosting an open source conversational AI framework before needing enterprise scalenot Ada
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Ada
- Pricing is not published anywhere and requires a sales conversation
- Sold to enterprises rather than to small support teams
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
Ada
Free- FreeFree
- Basic chatbot
- Single language
- Growth$100/month
- Advanced AI
- Multi-language
- Scale$undefined/month
- Enterprise features
- Dedicated support
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 Ada if
- You need conversational ai.
- You want to start without paying.
- You work on Web, Mobile, SMS, Messaging apps.
- You also want automatic resolution.
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 Ada or Rasa better?
- Neither clearly leads. Ada starts at Free and Rasa at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Ada or Rasa?
- Ada starts at Free and Rasa at Free.
- Does Ada or Rasa run on more platforms?
- Ada runs on Web, Mobile, SMS, Messaging apps. Rasa runs on On-premise, Cloud deployment, Docker, Kubernetes.
- Can I use Ada for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Ada best used for?
- Ada is most often used for ai agents resolving customer queries over chat, voice and email, deflecting repetitive contacts before they reach an agent, automating multi-step actions such as order lookups and returns, multilingual support across a global customer base. Of those, ai agents resolving customer queries over chat, voice and email and deflecting repetitive contacts before they reach an agent are not what Rasa is typically brought in for.
- What can Ada do that Rasa cannot?
- Ada covers Conversational AI, Automatic resolution, Analytics, Salesforce. Rasa covers NLU engine, Dialogue management, Testing tools, Teams. Both handle Multi-language support, Slack, API.
Related pages
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