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AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Browser-based AI dev workspace by Google for full-stack apps; being sunset on 22 Mar 2027, no new workspaces.
Lets non-technical teams query company databases and files in plain English and get auto-generated SQL and charts.
Free trial available
No public pricing
Free trial available
No public pricing
No public pricing
Free trial available
- ✦Natural language to SQL conversion
- ✦Database schema integration for accurate queries
- ✦Supports PostgreSQL, MySQL, Oracle, SQL Server and more
- ✦Insights with queries, results, visualizations and explanations
- ✦Desktop app for local database connections
- ✦Public API for custom integrations
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦Cloud workspaces for full-stack development
- ✦App Prototyping agent from natural language
- ✦Gemini AI for coding, debugging and docs
- ✦Repo import from GitHub, GitLab and Bitbucket
- ✦Web previews and Android emulators
- ✦Deploy to Firebase App Hosting, Hosting or Cloud Run
- ✦Natural-language chat interface over connected databases and files
- ✦Automatic SQL query generation from plain-English requests
- ✦Direct SQL entry for technical users
- ✦Support for CSV, Excel, PDF, DOC, and DOCX uploads
- ✦Downloadable chart and table outputs
- ✦Slack and website chatbot embedding with UI customization
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Prototyping apps from a prompt or mockup
- →Building full-stack apps in the browser
- →Collaborating and sharing preview URLs
- →Deploying and monitoring apps quickly
- →Letting business teams self-serve data questions without SQL skills
- →Generating ad hoc SQL queries faster for analysts
- →Embedding a data Q&A chatbot into Slack for teams
- →Consolidating file and database sources into one chat interface