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AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
AI-powered visual and functional test-automation platform for cross-browser, component, and accessibility testing.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
AI chat assistant for analysts that generates and fixes SQL using an organization's own saved query history.
Free trial available
No public pricing
Free trial available
No public pricing
No public pricing
- ✦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
- ✦Visual AI UI validation
- ✦Cross-browser and cross-device testing
- ✦Component and accessibility testing
- ✦Codeless recorder and NLP test builder
- ✦Test orchestration and self-healing tests
- ✦Root-cause analysis and automated maintenance
- ✦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)
- ✦AI chat trained on the user's own SQL repository
- ✦query saving, tagging, and versioning
- ✦team folder permissions and sharing
- ✦Chrome extension and IntelliJ plugin
- ✦SOC2-compliant security with no database access needed
- ✦table and field lookup assistance
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Catch visual UI regressions
- →Automate cross-browser testing
- →Scale QA across large test suites
- →Run accessibility checks
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →sharing reusable SQL snippets across an analytics team
- →quickly fixing syntax errors in existing queries
- →onboarding new analysts to a team's existing SQL logic
- →building a searchable personal or team SQL knowledge base