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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 visits/mo
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NLSQL
✓ verifiedFree trial
Natural-language-to-SQL analytics that deploys in your own Azure tenant, letting teams query databases from Teams, Slack or web.
4.4K saves
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SQL Builder
Paid
Pricing
No public pricing
No public pricing
No public pricing
Free trial available
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)
- ✦Plain-English to SQL query generation
- ✦Deploys inside your own Azure subscription
- ✦Works in Microsoft Teams, Slack and web chat
- ✦In-chat charts and visualizations
- ✦Connects to SQL Server, PostgreSQL, Snowflake, Redshift, MySQL and more
- ✦Self-service KPI/intent mapping
- ✦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
- →Let non-technical staff query corporate data
- →Self-service business analytics
- →Keep data in-tenant for compliance
- →In-chat reporting inside Teams or Slack
- →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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