Unsupervised vs. Synopsis
A side-by-side comparison based on G2 review data.
| Metric | Unsupervised | Synopsis |
|---|---|---|
| Overall rating | 4.3 | 4.8 |
| Review count | 45 | 10 |
| Ease of use | 9.0 | 9.7 |
| Ease of setup | 8.7 | 9.8 |
| Quality of support | 8.7 | 10.0 |
| Meets requirements | 9.1 | 9.7 |
| NPS | 53.488372 | 90 |
| Small Business | 60.0% | 50.0% |
| Mid-Market | 28.9% | 50.0% |
| Enterprise | 11.1% | 0.0% |
| Total page views | 281 | 184 |
| Total LLM citations | 37 | 16 |
Unsupervised
Unsupervised automates analytics so revenue teams go straight to why metrics are failing or succeeding, surfacing hidden growth opportunities without endless dashboards. As the only platform leveraging unsupervised AI at scale, Unsupervised automates data prep and analysis of complex data, discovering the most critical KPIs and tracking the monetary return to the business over time. Business and data teams use Unsupervised to drive growth, reduce costs and mitigate risks without additional data science investment.
- Ease of Use
- Intuition
- Flexibility
Synopsis
What Synopsis is Synopsis is a complete, AI-native data warehouse platform for mid-market companies. Synopsis replaces the traditional five-tool data stack — ingestion and ETL, cloud data warehouse, transformation and modeling, semantic layer, and BI and alerting — with one platform that goes live in 48 hours. Synopsis is built for companies that need a data warehouse but do not have, and do not want to hire, a data engineering team. Most data warehouse projects fail on people and time, not technology.