Count vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Count | Databricks |
|---|---|---|
| Overall rating | 4.8 | 4.6 |
| Review count | 104 | 1,388 |
| Ease of use | 8.9 | 8.9 |
| Ease of setup | 9.3 | 8.7 |
| Quality of support | 9.7 | 8.9 |
| Meets requirements | 9.1 | 9.1 |
| NPS | 89.423077 | 77.851361 |
| Small Business | 10.7% | 15.1% |
| Mid-Market | 79.6% | 37.6% |
| Enterprise | 9.7% | 47.2% |
| Total page views | 307 | 16,340 |
| Total LLM citations | 1,913 | 14,031 |
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
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Features
- Ease of Use
- Integrations
- Collaboration
- Analytics
- Easy Integrations