dbt vs. Synopsis
A side-by-side comparison based on G2 review data.
| Metric | dbt | Synopsis |
|---|---|---|
| Overall rating | 4.7 | 4.8 |
| Review count | 209 | 10 |
| Ease of use | 9.1 | 9.7 |
| Ease of setup | 8.8 | 9.8 |
| Quality of support | 9.0 | 10.0 |
| Meets requirements | 9.3 | 9.7 |
| NPS | 81.25 | 90 |
| Small Business | 27.1% | 50.0% |
| Mid-Market | 56.5% | 50.0% |
| Enterprise | 16.4% | 0.0% |
| Total page views | 780 | 184 |
| Total LLM citations | 4,329 | 16 |
dbt
dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.
- Ease of Use
- Features
- Automation
- Transformation
- Productivity Improvement
- Data Quality
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.