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Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
Desktop GUI client for AWS DynamoDB that speeds up data exploration, querying, editing, and code generation for developers.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Open-source GenBI platform that turns plain-English questions into governed SQL, charts and dashboards for data teams.
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
- ✦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)
- ✦Fast profile and region switching (SSO, MFA, aws-vault)
- ✦Visual query and scan builder
- ✦JSON-style item editing
- ✦AI code-snippet generation (JS/TS, Rust, Go, Python)
- ✦CSV/JSON import and export
- ✦Bookmarks, history, and operation builder
- ✦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
- ✦Natural-language to SQL with instant charts
- ✦Semantic modeling layer (MDL)
- ✦Row-level and column-level data policies
- ✦20+ connectors (BigQuery, PostgreSQL, ClickHouse, Redshift)
- ✦Auto-generated GenBI dashboards
- ✦Embedded AI API with agent skills and memory
- ✦Cloud and self-hosted deployment
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Exploring and editing DynamoDB data quickly
- →Generating DynamoDB code for your app
- →Building queries without memorizing syntax
- →Importing and exporting DynamoDB tables
- →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
- →Self-serve analytics for non-technical teams
- →Building governed dashboards from a prompt
- →Embedding AI analytics into products
- →Cutting ad-hoc SQL requests to data teams