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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
AI Text2SQL database client that generates and fixes SQL from natural language across 30+ databases, with dashboards.
Enterprise text-to-SQL AI data analyst built on the SQLCoder model, for private, accurate natural-language querying of databases.
No public pricing
No public pricing
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
- ✦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 Text2SQL query generation
- ✦One-click SQL error fixing
- ✦GUI database management and ER diagrams
- ✦AI data analysis and dashboards
- ✦Support for 30+ databases
- ✦Local data processing for privacy
- ✦Natural-language querying of databases and CSVs
- ✦SQLCoder text-to-SQL model (privacy-preserving)
- ✦Connectors to Postgres, Snowflake and more
- ✦Learns from user feedback and preferences
- ✦Interpretable, explainable results
- ✦Self-hosted or cloud deployment options
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Write SQL from plain language
- →Manage multiple databases in one client
- →Generate BI dashboards from data
- →Migrate and sync schemas/data
- →Self-service data analysis for non-analysts
- →Ad hoc drill-downs without writing SQL
- →Exploring hypotheses across company data
- →Deploying a private, on-prem AI analyst