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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
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Topicmojo
✓ verifiedPaid
Topic and question research tool that aggregates search, social, and SEO data to generate blog and content ideas.
👁 905/mo
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SQL Builder
Paid
Pricing
No public pricing
No public pricing
Pro: $99/mo (or $39.50/mo billed annually)
Starter Plan: $1.99/mo
Expert Plan: $5.99/mo
Pro Plan: $2.99/mo
Core features
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦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)
- ✦Topic Model for cross-web content research
- ✦Social Model covering Reddit, Twitter, TikTok, Instagram and more
- ✦Question Finder for audience-question discovery
- ✦Search volume, trends, sentiment and CPC data
- ✦Saved lists and shareable workspaces
- ✦Multi-language and multi-country reports
- ✦CSV export
- ✦AI-Powered SQL Query Generation
- ✦No-Code SQL Builder
- ✦SQL Syntax Explainer
- ✦SQL Optimizer
- ✦SQL Formatter
- ✦SQL Syntax Validator
- ✦NoSQL Query Builder
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Content marketers finding blog topic ideas
- →Social media managers tracking trending discussions
- →SEO teams researching keyword search volume and CPC
- →YouTube/podcast creators finding audience questions
- →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
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