Varada vs. Red Hat jBoss Data Virtualization
A side-by-side comparison based on G2 review data.
| Metric | Varada | Red Hat jBoss Data Virtualization |
|---|---|---|
| Overall rating | 4.2 | 4.1 |
| Review count | 11 | 16 |
| Ease of use | 9.5 | 8.6 |
| Ease of setup | 8.1 | 8.6 |
| Quality of support | 9.5 | 8.0 |
| Meets requirements | 8.3 | 8.0 |
| NPS | 36.363636 | 31.25 |
| Small Business | 45.5% | 31.3% |
| Mid-Market | 36.4% | 31.3% |
| Enterprise | 18.2% | 37.5% |
| Total page views | 20 | 56 |
| Total LLM citations | 3 | 31 |
Varada
Varada's data platform runs in your AWS VPC and can dramatically accelerate queries that run directly on your data lake. No need to move data or model it to get those blazing fast queries users demand. Any SQL app, BI tool or even analysts and data scientists can easily query any data source in your data lake, without the need to move data, prepare or model it in advance. >>How fast is “fast”? Varada is 10x-100x faster than any other data lake query engine. Data teams and users no longer need compromise on performance in order to achieve agility and fast time-to-insights.
Red Hat jBoss Data Virtualization
Red Hat JBoss Data Virtualization is a data supply and integration solution that sits in front of multiple data sources and allows them to be treated as single source, delivering the needed data in the required form at the right time to any application or user.