Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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Convex
✓ verifiedFreemium
TypeScript backend-as-a-service with a reactive database, server functions, auth and file storage for full-stack and AI apps.
692K visits/mo20K saves
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Augment Code
✓ verifiedPaid
Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.
544K visits/mo
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MagicLearn
✓ verifiedFreemium
Online course platform teaching non-coders to build with AI tools like Cursor and Claude Code.
6.0K visits/mo
Pricing
Free & Starter: $0/mo (pay-as-you-go, 1-6 developers)
Professional: $25/developer/mo
Business & Enterprise: $2,500/mo minimum
Business: $100/mo flat (up to 50 seats, $100 usage included)
Free trial available
Free: $0 (limited course previews)
Pro: $17/month (billed $200/year, all courses)
Free trial available
Core features
- ✦Reactive real-time database
- ✦TypeScript server functions (queries/mutations/actions)
- ✦Built-in authentication
- ✦Cron jobs and backend workflows
- ✦File storage, text and vector search
- ✦ACID transactions; open-source/self-host
- ✦Context Engine for codebase understanding
- ✦Agents across the full SDLC
- ✦Model routing / bring-your-own-keys
- ✦Automated code review and test coverage
- ✦CLI, MCP and native tool integrations
- ✦Enterprise security (SOC 2, ISO 42001, SSO)
- ✦Courses on AI code editors such as Cursor
- ✦Claude Code and full-stack AI development lessons
- ✦AI agents and automation training
- ✦App-building from idea to production
- ✦Prompt engineering instruction
- ✦Magic MCP and ongoing content updates
Use cases
- →Building real-time reactive apps
- →Backends for AI agents
- →Replacing Firebase or Supabase
- →Full-stack TypeScript development
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →Learn to code using AI assistants
- →Roll out AI tooling across an engineering team
- →Build and ship apps with no prior experience
- →Upskill in prompt engineering
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