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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.

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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

775K visits/mo
AskYourDatabase
✓ verifiedFreemium

AI chatbot that turns plain-English questions into SQL, letting non-technical teams query and visualize their databases.

10K visits/mo9.0K saves
Open Source Database Designs
✓ verifiedFreemium

Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.

27K visits/mo
Base44
✓ verifiedFreemium

No-code AI platform that builds full-stack apps, websites and agents from plain-language prompts with hosting built in.

18M visits/mo
Pricing

No public pricing

Desktop Ultimate: $49/mo
Website Chatbot Scale: $149/mo (1,000 questions/mo)
Website Chatbot Established: $329/mo (1,500 questions/mo)

No public pricing

Free: $0
Starter: $16/mo
Builder: $40/mo
Pro: $80/mo
Elite: $160/mo
Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • Natural-language to SQL queries
  • Automatic data visualization
  • Natural-language dashboard builder
  • Works with many major databases
  • Embeddable chatbot widget
  • Fine-grained access control and self-hosting
  • Library of sample database designs
  • Visual database designer / diagram tool
  • AI database generator
  • Modify and optimize existing schemas
  • SQL script export
  • Dialect converters (MySQL/PostgreSQL/MSSQL)
  • Prompt-to-app full-stack generation
  • Built-in backend, database and auth
  • One-click integrations (Slack, Notion, HubSpot, etc.)
  • Instant hosting and custom domains
  • Superagents for automated workflows
  • GitHub sync and code export
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Ad-hoc queries for non-technical staff
  • Building dashboards without SQL
  • Embedding data chat for customers
  • Exploring production databases safely
  • Finding a starting schema for a project
  • Designing a database visually
  • Generating a schema with AI
  • Converting between SQL dialects
  • Building internal tools and dashboards
  • Launching websites and landing pages
  • Creating customer portals and CRMs
  • Deploying AI agents that automate tasks
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