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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
AI no-code platform that turns plain-English descriptions into governed internal business apps with role-based access and dashboards.
AI SQL toolkit for analysts and developers to generate, optimize, validate, format and explain queries across 30+ database engines.
Lets non-technical teams query company databases and files in plain English and get auto-generated SQL and charts.
No public pricing
No public pricing
Free trial available
Free trial available
No public pricing
Free trial available
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦AI agents build apps from prompts or requirements
- ✦Workflow automation
- ✦Role-based access control
- ✦Dashboards and Kanban views
- ✦Super app and rapid prototyping
- ✦Data import
- ✦SOC 2 / ISO-backed security, cloud-native hosting
- ✦Natural-language to SQL/NoSQL query generation
- ✦AI-driven query optimization with rewrite suggestions
- ✦Syntax validation with automated error fixes
- ✦Query formatting and cross-engine conversion
- ✦Schema-aware data source connections with autosuggest
- ✦Rule-based guardrails per connected data source
- ✦Support for large schemas with 900+ tables
- ✦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
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Automate internal processes
- →Build CRM and sales apps
- →Create HR portals and onboarding systems
- →Build client, vendor and partner portals
- →Replace spreadsheets and legacy tools
- →Analysts writing SQL without deep query-syntax knowledge
- →Developers debugging and optimizing slow queries
- →Teams standardizing SQL formatting across a codebase
- →Migrating queries between database engines
- →Learners wanting plain-language explanations of SQL statements
- →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