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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.

👁 122K/mo
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/mo
Gumloop
✓ verifiedFreemium

No-code platform for building and running AI agents that automate work across data, sales and support tasks.

👁 701K/mo
Pricing
Basic: $0/month
Pro: $20/month
Team: $49/month
Starter Plan: $1.99/mo
Expert Plan: $5.99/mo
Pro Plan: $2.99/mo

No public pricing

Pro: $37/month (20k+ credits/month, unlimited seats)
Core features
  • Integration with Notion databases
  • Unlimited fields and submissions
  • Customizable form styling
  • Conditional logic and validation rules
  • Ready-made form templates
  • File uploads
  • Multi-page forms
  • Email, Slack, and Discord notifications
  • Submission editing
  • Form protection (password, captcha)
  • AI-Powered SQL Query Generation
  • No-Code SQL Builder
  • SQL Syntax Explainer
  • SQL Optimizer
  • SQL Formatter
  • SQL Syntax Validator
  • NoSQL Query Builder
  • 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)
  • Visual canvas to orchestrate multi-agent workflows
  • Prebuilt specialized agents (data, support, CRM, sales)
  • Access to many AI models with no vendor lock-in
  • Slack, Teams and email agent interaction
  • Recurring/scheduled tasks and triggers
  • Enterprise security: RBAC, VPC, audit logs, spend controls
Use cases
  • Guest blog submission forms
  • Event attendee check-in forms
  • Customer satisfaction surveys
  • Patient intake forms
  • Photography quotation requests
  • Equipment rental requests
  • Photo shoot permit requests
  • Generating complex SQL queries without SQL knowledge
  • Understanding and decoding intricate SQL queries
  • Optimizing SQL queries for faster results
  • Formatting messy SQL code for readability
  • Validating SQL syntax to prevent errors
  • Generating NoSQL queries without manual coding
  • Finding a starting schema for a project
  • Designing a database visually
  • Generating a schema with AI
  • Converting between SQL dialects
  • Automate data analysis and reporting
  • Triage support tickets and spot patterns
  • Keep a CRM updated and research prospects
  • Deploy AI agents across a team's tools
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