Make score factors
Editorial quality82
Practical utility86
Trust & transparency82
Freshness84
Engagement quality10
Momentum50
Decision guide · Reviewed Sep 23, 2026 · AI Agent & Chatbot Builders, No-Code Chatbot Builders
Make
75.5
Rasa
80.1Choose Make when you need operations and marketing teams building complex, multi-branch automations with AI steps. Choose Rasa when you need enterprises in regulated industries needing auditable, self-hosted chat and voice assistants with tight control over business logic.
At a glance
The practical differences
| Decision factor | Make | Rasa |
|---|---|---|
| Best for | operations and marketing teams building complex, multi-branch automations with AI steps | enterprises in regulated industries needing auditable, self-hosted chat and voice assistants with tight control over business logic |
| Not ideal for | users who only need a few simple triggers or teams that require self-hosting | non-technical solo operators wanting a quick, turn-key chatbot without code, developer configuration, or custom logic definition |
| Pricing | A free plan includes a monthly operations allowance; Core, Pro, Teams, and Enterprise plans add operations, faster intervals, and controls at the review date. Verify current terms on the official pricing page. | At the review date (September 2026), Rasa offers a free Developer Edition for up to 1,000 external or 100 internal conversations per month. Enterprise tiers (Rasa Pro and Rasa Studio) require contacting sales. |
| Key difference | Visual, branch-friendly scenario design with strong value per operation and growing AI agent features. | Unlike pure LLM wrapper frameworks or rigid intent trees, Rasa's CALM architecture anchors generative language models inside explicit, deterministic business flows and supports air-gapped, on-premises deployment. |
| Overall rank | #299 | #27 |
| Review verdict | A favourite for people who outgrow simple triggers and want visual control. Simpler needs may be served by lighter tools, and code-first teams may prefer self-hosted options. | Rasa suits enterprise engineering and product teams that require strict governance, auditability, and on-premises hosting for mission-critical chat and voice agents. It is not suitable for non-technical individuals looking for a simple, instant one-click bot builder with no infrastructure setup. |
Rasa score factors
Editorial quality82
Practical utility90
Trust & transparency85
Freshness87
Engagement quality6
Momentum100
Make strengths
- Powerful visual logic
- Good operation economics
- Broad integrations
- Free plan
Rasa strengths
- Supports air-gapped, on-premises, and private cloud deployment to meet strict data privacy standards
- Combines pro-code Python SDK flexibility with Rasa Studio visual flow editing
- CALM architecture prevents uncontrolled model hallucination across multi-step transactional flows
- Generous free Developer Edition available for local or production use up to 1,000 external sessions per month
- Native support for Model Context Protocol (MCP) and real-time voice primitives
Frequently asked
Make vs Rasa
Should I choose Make or Rasa?+
Choose Make when you need operations and marketing teams building complex, multi-branch automations with AI steps. Choose Rasa when you need enterprises in regulated industries needing auditable, self-hosted chat and voice assistants with tight control over business logic. ToolsRank scores Make 75.5 and Rasa 80.1; the gap reflects editorial quality, utility, trust, and freshness, not popularity or payment.
Is Make cheaper than Rasa?+
Make: A free plan includes a monthly operations allowance; Core, Pro, Teams, and Enterprise plans add operations, faster intervals, and controls at the review date. Verify current terms on the official pricing page. Rasa: At the review date (September 2026), Rasa offers a free Developer Edition for up to 1,000 external or 100 internal conversations per month. Enterprise tiers (Rasa Pro and Rasa Studio) require contacting sales. Compare the plan you would actually use and verify current prices on each vendor's pricing page before purchasing.
Which is better for ai agent & chatbot builders?+
Rasa currently scores higher for ai agent & chatbot builders work. Make remains the stronger pick when your priority is operations and marketing teams building complex, multi-branch automations with AI steps. Avoid Rasa if you are non-technical solo operators wanting a quick, turn-key chatbot without code, developer configuration, or custom logic definition.
Can I use Make and Rasa together?+
Yes. Make stands out for visual, branch-friendly scenario design with strong value per operation and growing AI agent features. Rasa stands out for unlike pure LLM wrapper frameworks or rigid intent trees, Rasa's CALM architecture anchors generative language models inside explicit, deterministic business flows and supports air-gapped, on-premises deployment. Pairing them makes sense when one workflow needs both strengths; otherwise pick the tool that matches your primary job.