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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.

Cody logo
Cody
✓ verifiedPaid

Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.

245K visits/mo
Open Source Database Designs logo
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
Blaze SQL logo
Blaze SQL
✓ verifiedFree trial

AI SQL analyst that learns your database to turn plain-English questions into queries, dashboards and reports for teams.

23K visits/mo5.4K saves
AI Query logo
AI Query
✓ verifiedPaid

Turns plain-English prompts into SQL and explains existing queries; handy for non-experts, though its scope is narrow.

167 visits/mo6.2K saves
Pricing
Enterprise: starting at $16K (includes AI feature credits, scales with team size)

No public pricing

Team: $400/mo (3 users, +$50/extra user)
Team Advanced: $800/mo (3 users, +$75/extra user)

Free trial available

Pro: $10/mo (unlimited queries)
Pro: $100/yr (2 months free)
Core features
  • Codebase-aware developer chat
  • AI code completions and inline edits
  • Customizable and shareable prompts
  • Automatic bug identification and debugging help
  • Context filters to exclude sensitive repos
  • Integrates with major code hosts and IDEs
  • 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)
  • Auto-learns database schema without manual setup
  • Natural-language querying with accuracy scoring
  • Drag-and-drop personal dashboards
  • Automated PDF and interactive reports
  • Works inside ChatGPT, Claude, Slack and MS Teams
  • Desktop app keeps query results local
  • English-to-SQL generation
  • SQL-to-English explanation
  • Schema definition dashboard
  • Support for multiple database engines
  • Save, share and query history
Use cases
  • Engineers asking questions about an unfamiliar large codebase
  • Teams standardizing common coding tasks with shared prompts
  • Developers debugging errors faster with AI-assisted context
  • Enterprises running large-scale code migrations
  • Finding a starting schema for a project
  • Designing a database visually
  • Generating a schema with AI
  • Converting between SQL dialects
  • Let non-technical staff self-serve data insights
  • Speed up ad-hoc analysis for BI teams
  • Generate recurring reports automatically
  • Query across many SQL databases and warehouses
  • Writing SQL without deep expertise
  • Understanding complex queries
  • Speeding up routine database work
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