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AI Tool Comparison
Adalo vs Lovable
A detailed side-by-side comparison to help you choose the right AI tool for your needs.
Feature Comparison
Pros & Cons
Adalo
Pros
- Build once and publish to iOS, Android, and web from a single project
- Built-in database with support for external sources like Airtable, Xano, and Google Sheets
- Component marketplace and custom component development extend functionality
- Over 99% average app uptime for published applications
- Free tier available to start building and testing apps
Cons
- Free tier is limited to 200 records per app and cannot publish to app stores
- Pricing for paid tiers is not clearly displayed on the website, making cost planning difficult
- Limited to Adalo's component system — complex custom UI or logic may hit platform constraints
- Heavy reliance on third-party integrations (Xano, Zapier) for advanced backend functionality
Lovable
Pros
- Full-stack app generation from conversational prompts, not just UI components
- GitHub sync and one-click deployment reduce DevOps overhead
- Built-in integrations with AI services like ElevenLabs, Perplexity, and Firecrawl extend app capabilities
- Backed by $330M in funding, suggesting strong ongoing development
- Used by teams at recognizable companies like eXp Realty and ElevenLabs for production apps
Cons
- Limited pricing transparency — only a Pro tier at $24/mo is clearly visible; higher tiers and feature limits are unclear
- Dependent on AI model quality (currently Claude Opus) which may produce unpredictable results for complex logic
- Not suited for highly custom backend requirements or applications needing fine-grained server control
- As a hosted platform, you depend on Lovable's infrastructure and uptime
Our Verdict
Both Adalo and Lovable are excellent choices with similar feature sets. Your decision should depend on your specific needs, pricing, and whether you need self-hosting capabilities.