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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Convex logo
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
Boost.space logo
Boost.space
✓ verifiedPaid

Data-foundation platform unifying product, customer, and order data via 2,600+ integrations to power AI agents for e-commerce ops.

95K visits/mo
PromptLayer logo
PromptLayer
✓ verifiedFree

Prompt engineering, management, and LLM observability platform.

212K visits/mo
Pricing
Free & Starter: $0/mo (pay-as-you-go, 1-6 developers)
Professional: $25/developer/mo
Business & Enterprise: $2,500/mo minimum

No public pricing

No public pricing

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
  • 2,600+ native integrations
  • Two-way data synchronization
  • Unified single-source-of-truth database
  • Ready-to-deploy AI agents (PIM, pricing, enrichment)
  • Sits under automation tools (Make, Zapier, n8n)
  • Enterprise security (ISO 27001, SOC 2, GDPR)
  • Prompt management
  • Prompt evaluations
  • LLM observability
  • Team collaboration
  • Version control for prompts
  • A/B testing of prompts
  • Prompt Registry
  • Historical backtests
  • Regression tests
  • Usage monitoring
Use cases
  • Building real-time reactive apps
  • Backends for AI agents
  • Replacing Firebase or Supabase
  • Full-stack TypeScript development
  • Centralizing and cleaning product catalog data
  • Automating product enrichment and pricing
  • Syncing data across suppliers and channels
  • Powering AI agents on unified business data
  • Scaling customer support automation with LLMs
  • Empowering non-technical teams with prompt engineering
  • Building personalized AI interactions
  • Debugging LLM agents
  • Improving content creation processes
  • Managing and monitoring prompts with a team
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