Yellowbrick vs. Starburst
A side-by-side comparison based on G2 review data.
| Metric | Yellowbrick | Starburst |
|---|---|---|
| Overall rating | 4.9 | 4.3 |
| Review count | 14 | 127 |
| Ease of use | 9.5 | 8.9 |
| Ease of setup | 8.8 | 8.6 |
| Quality of support | 9.6 | 9.0 |
| Meets requirements | 9.5 | 9.0 |
| NPS | 100 | 51.587302 |
| Small Business | 0.0% | 38.6% |
| Mid-Market | 28.6% | 23.6% |
| Enterprise | 71.4% | 37.8% |
| Total page views | 85 | 853 |
| Total LLM citations | 184 | 4,628 |
Yellowbrick
Yellowbrick is a high-performance, cloud-native data platform designed for hybrid multi-cloud and on-premises environments. It supports a wide variety of workloads, including traditional data warehousing, real-time streaming analytics, application analytics, and AI/ML workloads. Yellowbrick's architecture leverages the power of Kubernetes to deliver scalability, elasticity, and operational simplicity through SQL or a web interface, abstracting any user Kubernetes management.
Starburst
Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. Learn more at starburst.ai
- Fast Querying
- Query Efficiency
- Integrations
- Ease of Use
- Large Datasets
- Performance