Count vs. Lightdash
A side-by-side comparison based on G2 review data.
| Metric | Count | Lightdash |
|---|---|---|
| Overall rating | 4.8 | 4.9 |
| Review count | 104 | 19 |
| Ease of use | 8.9 | 9.4 |
| Ease of setup | 9.3 | 9.6 |
| Quality of support | 9.7 | 9.9 |
| Meets requirements | 9.1 | 9.1 |
| NPS | 89.423077 | 100 |
| Small Business | 10.7% | 21.1% |
| Mid-Market | 79.6% | 57.9% |
| Enterprise | 9.7% | 21.1% |
| Total page views | 307 | 251 |
| Total LLM citations | 1,913 | 3,824 |
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
Lightdash
Lightdash is the fastest way for modern data teams to build and scale AI-powered self-serve analytics. It enables analysts to define metrics and make them accessible to non-technical users, who can explore data and build dashboards without writing SQL. Lightdash integrates with modern data stacks, supports a governed semantic layer, and offers developer-friendly features like Git-based workflows. It is designed to reduce the overhead of maintaining BI tools, streamline metric definitions, and improve access to consistent data across teams.