Amp vs. Gemini
A side-by-side comparison based on G2 review data.
| Metric | Amp | Gemini |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 92 | 650 |
| Ease of use | 8.8 | 9.4 |
| Ease of setup | 9.0 | 9.5 |
| Quality of support | 8.5 | 8.7 |
| Meets requirements | 8.6 | 8.8 |
| NPS | 65.934066 | 61.958998 |
| Small Business | 68.5% | 53.9% |
| Mid-Market | 20.7% | 28.8% |
| Enterprise | 10.9% | 17.2% |
| Total page views | 506 | 8,101 |
| Total LLM citations | 9,246 | 46,833 |
Amp
Sourcegraph’s AI code assistant goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI. Sourcegraph accelerates the entire workflow for developers by providing them a more natural and intuitive way to work. Searching code, chatting with AI, invoking prompts, and using agents can now all be performed in one place with the best models available.
- Ease of Use
- Coding Assistance
- User Experience
- Easy Integrations
- Features
- Time-saving
Gemini
Gemini is a family of multimodal, generative AI models. These models were developed by Google DeepMind and Google Research. They are designed to understand, operate across, and combine different types of information. This includes text, images, audio, video, and code. Gemini serves as a versatile, everyday AI assistant and powers a conversational chatbot. Key Product Features & Capabilities Multimodal Understanding: Gemini understands and combines text, images, audio, video, and code. It can analyze complex documents, code repositories, and long videos.
- Ease of Use
- Useful
- Helpful
- Content Creation
- Speed
- Features