Count vs. Deepnote
A side-by-side comparison based on G2 review data.
| Metric | Count | Deepnote |
|---|---|---|
| Overall rating | 4.8 | 4.5 |
| Review count | 104 | 387 |
| Ease of use | 8.9 | 9.0 |
| Ease of setup | 9.3 | 9.1 |
| Quality of support | 9.7 | 8.9 |
| Meets requirements | 9.1 | 8.8 |
| NPS | 89.423077 | 70.75718 |
| Small Business | 10.7% | 67.7% |
| Mid-Market | 79.6% | 25.0% |
| Enterprise | 9.7% | 7.3% |
| Total page views | 307 | 631 |
| Total LLM citations | 1,913 | 5,340 |
Count
AI makes things up. A made-up fact or an unsupported conclusion can damage a decision, a stakeholder or a reputation. Count is a collaborative platform for AI-powered analytics and research where every answer earns your trust. Count’s Reasoning Chains show the thinking, evidence and sources under every claim an AI makes. Each claim is labelled as a Citation, Assumption, Model knowledge, Judgement, Guesswork or Hallucination, so you can see which ones need checking before they reach a decision.
- Team Collaboration
- Ease of Use
- Customer Support
- Flexibility
- Data Visualization
- SQL Querying
Deepnote
Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind. Deepnote gives anyone working with data superpowers. It unifies your data workflow through an integrated semantic layer, preparing your data for advanced AI applications.
- Ease of Use
- Collaboration
- Team Collaboration
- Easy Integrations
- Data Management
- Integrations