dbt vs. SolarWinds Database Observability
A side-by-side comparison based on G2 review data.
| Metric | dbt | SolarWinds Database Observability |
|---|---|---|
| Overall rating | 4.7 | 4.5 |
| Review count | 209 | 232 |
| Ease of use | 9.1 | 8.9 |
| Ease of setup | 8.8 | 8.9 |
| Quality of support | 9.0 | 8.9 |
| Meets requirements | 9.3 | 9.0 |
| NPS | 81.25 | 64 |
| Small Business | 27.1% | 18.2% |
| Mid-Market | 56.5% | 42.3% |
| Enterprise | 16.4% | 39.5% |
| Total page views | 780 | 709 |
| Total LLM citations | 4,329 | 4,617 |
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
SolarWinds Database Observability
SolarWinds Database Observability brings together SolarWinds database monitoring and performance management capabilities for organizations running mixed database estates across on-premises and cloud environments. The portfolio includes self-hosted and SaaS offerings and supports relational, open-source, and NoSQL databases, including SQL Server, Oracle, MySQL, PostgreSQL, MongoDB, Redis, Amazon Aurora, Amazon RDS, Azure SQL, and Google Cloud SQL.
- Real-time Monitoring
- Monitoring
- Ease of Use
- Database Management
- Insights
- Performance