Bubble Lab vs Make
Overview
BubbleLab is an AI-native workflow automation platform built LLM-first. It enables teams to build, test, and deploy AI-powered workflows with native support for language models, prompt chaining, and intelligent routing. Designed for developers building AI applications that need reliable automation pipelines.
Make (formerly Integromat) is a visual workflow automation platform with powerful data transformation and AI capabilities. It offers more complex routing, filtering, and data manipulation than simpler tools, making it popular with technical users. Make's AI modules support LLM calls, image generation, and document processing within multi-step automation scenarios.
Key features
Core capabilities each platform advertises.
- Visual scenario builder
- 1500+ app integrations
- Advanced logic and branching
- Real-time execution monitoring
- Data transformation tools
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- AI-native design with Pearl assistant providing intelligent ops automation
- Instant Slack deployment with zero engineering setup required
- Enterprise-grade security with SOC 2 Type 1 and Tier 2 CASA certifications
- Open-source component with production-ready TypeScript for full control
- Y Combinator backing (W'26) with strong growth potential
Cons
- Extremely new platform (founded 2025) with limited track record
- Very small team (2 people) may struggle with support and development capacity
- Limited integrations compared to established platforms
- Pricing not transparent or publicly available
Pros
- Powerful visual builder with superior handling of complex multi-step workflows and branching logic
- 3,000+ app integrations with advanced data transformation and HTTP/webhook capabilities
- Cost-effective pricing, significantly cheaper than Zapier for complex automations
- Built-in code environment for JavaScript and Python for advanced customization
- Backed by $13B Celonis with enterprise-grade reliability and continuous innovation
Cons
- Steeper learning curve than Zapier due to more complex interface and field mapping
- Credit-based pricing system can be confusing to estimate costs accurately
- Less suitable for complete beginners or non-technical users
- Smaller community and fewer pre-built templates compared to Zapier
Bubble Lab or Make — which should you choose?
Choose Bubble Lab if you wantChoose if you want
Choose Make if you wantChoose if you want
- Complex multi-step automations
- Marketing and sales workflow automation
- Data transformation pipelines
- E-commerce process automation
- Custom API integrations
Compare Bubble Lab and Make on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.