Data 360 (formerly Salesforce Data Cloud) vs. DQLabs
A side-by-side comparison based on G2 review data.
| Metric | Data 360 (formerly Salesforce Data Cloud) | DQLabs |
|---|---|---|
| Overall rating | 4.2 | 4.6 |
| Review count | 769 | 45 |
| Ease of use | 7.9 | 9.7 |
| Ease of setup | 7.6 | 9.5 |
| Quality of support | 8.7 | 9.5 |
| Meets requirements | 9.0 | 9.5 |
| NPS | 42.090395 | 81.395349 |
| Small Business | 25.0% | 6.7% |
| Mid-Market | 40.1% | 63.3% |
| Enterprise | 34.9% | 30.0% |
| Total page views | 3,234 | 656 |
| Total LLM citations | 724 | 1,024 |
Data 360 (formerly Salesforce Data Cloud)
Data 360 is the system of context for the Agentic Enterprise. Natively built on the Salesforce platform, it connects every source of data you have—from data lakes to warehouses—creating a unified view of your business that your teams and AI agents can act on. And with Zero Copy capabilities, you get all of this without the cost or complexity of moving a single byte of data. Instead of relying on outdated information, your employees and AI agents operate from a complete, real-time understanding of your business exactly when it’s needed.
- Platform Integration
- Ease of Use
- Easy Integration
- Data Discovery
- Integrations
- Data Integration
DQLabs
DQLabs offers PRIZM, which is an AI-native platform that unifies context, data observability, and quality into a single control plane that continuously understands data, evaluates its trustworthiness, and operates across the enterprise. PRIZM is used by enterprises to detect, explain, and resolve data issues before they impact analytics or AI systems and orchestrate resolution with minimal human intervention, while keeping humans in control through AI stewardship.
- Data Quality
- Ease of Use
- Efficiency Improvement
- Automation
- Features
- Easy Setup