VMware Greenplum vs. Yellowbrick
A side-by-side comparison based on G2 review data.
| Metric | VMware Greenplum | Yellowbrick |
|---|---|---|
| Overall rating | 4.3 | 4.9 |
| Review count | 61 | 14 |
| Ease of use | 8.6 | 9.5 |
| Ease of setup | 8.4 | 8.8 |
| Quality of support | 8.3 | 9.6 |
| Meets requirements | 8.7 | 9.5 |
| NPS | 47.272727 | 100 |
| Small Business | 21.3% | 0.0% |
| Mid-Market | 29.5% | 28.6% |
| Enterprise | 49.2% | 71.4% |
| Total page views | 129 | 85 |
| Total LLM citations | 93 | 184 |
VMware Greenplum
Advanced analytics meets traditional business intelligence with VMware Greenplum, the world’s first fully-featured, multi-cloud, massively parallel processing (MPP) data platform based on the open source Greenplum Database. Greenplum provides comprehensive and integrated analytics on multi-structured data. Powered by one of the world’s most advanced cost-based query optimizers, VMware Greenplum delivers unmatched analytical query performance on massive volumes of data.
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.