Amazon CodeWhisperer vs Tabnine
Developer AI
| A Amazon CodeWhisperer  | T Tabnine | |
|---|---|---|
| Free tier | ✓ Free tier | ✓ Free tier |
| Pricing model | subscription | subscription |
| Price | $19 (Professional) | $12 (Pro) |
| Features | ||
| Languages | — | — |
| API | ✗ Not available | ✗ Not available |
| Homepage | Amazon CodeWhisperer ↗ | Tabnine ↗ |
| Pricing Plans | Individual (Free)$0/moUnlimited code suggestions, 50 security scans/mo Professional$19/user/moOrganizational policies, SSO, audit logs, higher scan limits | Free$0/moBasic short code completions, limited context Pro$12/user/moFull-line and function completions, chat, all IDEs EnterpriseCustomPrivate deployment, custom model training, SSO, audit |
| Platforms | ||
| Integrations | VS Code, JetBrains IDEs, AWS Cloud9, AWS Lambda, AWS CDK, Amazon SageMaker, Visual Studio, AWS CLI, JupyterLab, Amazon CodeCatalyst | VS Code, IntelliJ IDEA, WebStorm, PyCharm, Vim, Neovim, Sublime Text, Eclipse, Emacs, JupyterLab |
- Free tier with unlimited code suggestions for individual developers
- Best-in-class AWS service and SDK code generation
- Built-in security vulnerability scanning powered by Amazon CodeGuru
- Reference tracking to flag suggestions that resemble open-source code
- Less capable than GitHub Copilot for non-AWS workloads
- Smaller model and fewer IDE integrations than top competitors
- Chat and multi-file editing capabilities are behind Copilot and Cursor
- Privacy-first with local model and on-premises deployment options
- Trains personalized models on your codebase for team consistency
- Supports all major IDEs including VS Code, IntelliJ, and Vim
- Compliant with enterprise security and data governance requirements
- Code completion quality lags behind GitHub Copilot and Cursor
- AI chat features are less capable than newer competitors
- Local model requires significant hardware resources
AI Commentary
Amazon CodeWhisperer (now part of Amazon Q Developer) is purpose-built for AWS development, with deep knowledge of AWS SDKs, CloudFormation, and service APIs. Its security scanning feature proactively detects vulnerabilities such as OWASP Top 10 issues as you type. CodeWhisperer tracks code provenance and flags suggestions that closely match open-source code, reducing intellectual property risk. It has been integrated into Amazon Q Developer as part of AWS's broader AI developer experience strategy.
Tabnine differentiates itself by prioritizing code privacy, offering models that run entirely on-premises or locally without any code leaving the developer's environment. Its enterprise offering includes the ability to fine-tune a model on a company's private codebase, improving suggestion accuracy and style consistency. Tabnine supports a broad range of IDEs, making it suitable for diverse development environments. As AI coding tools mature, Tabnine's privacy guarantees remain its strongest competitive differentiator.