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AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
Natural-language-to-SQL analytics that deploys in your own Azure tenant, letting teams query databases from Teams, Slack or web.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
Browser-based AI dev workspace by Google for full-stack apps; being sunset on 22 Mar 2027, no new workspaces.
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
No public pricing
No public pricing
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦Plain-English to SQL query generation
- ✦Deploys inside your own Azure subscription
- ✦Works in Microsoft Teams, Slack and web chat
- ✦In-chat charts and visualizations
- ✦Connects to SQL Server, PostgreSQL, Snowflake, Redshift, MySQL and more
- ✦Self-service KPI/intent mapping
- ✦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)
- ✦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
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Let non-technical staff query corporate data
- →Self-service business analytics
- →Keep data in-tenant for compliance
- →In-chat reporting inside Teams or Slack
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Prototyping apps from a prompt or mockup
- →Building full-stack apps in the browser
- →Collaborating and sharing preview URLs
- →Deploying and monitoring apps quickly