Data 360 (formerly Salesforce Data Cloud) vs. DataMatch Enterprise
A side-by-side comparison based on G2 review data.
| Metric | Data 360 (formerly Salesforce Data Cloud) | DataMatch Enterprise |
|---|---|---|
| Overall rating | 4.2 | 4.2 |
| Review count | 769 | 27 |
| Ease of use | 7.9 | 8.0 |
| Ease of setup | 7.6 | 8.8 |
| Quality of support | 8.7 | 7.8 |
| Meets requirements | 9.0 | 9.0 |
| NPS | 42.090395 | 46.153846 |
| Small Business | 25.0% | 18.5% |
| Mid-Market | 40.1% | 66.7% |
| Enterprise | 34.9% | 14.8% |
| Total page views | 3,234 | 126 |
| Total LLM citations | 724 | 169 |
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 Instead of relying on outdated information, your employees and AI agents operate from a complete, real-time understanding of your business exactly when it’s needed.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
DataMatch Enterprise
DataMatch Enterprise (DME) by Data Ladder is an entity resolution and data matching platform that identifies, links, and consolidates records describing the same person, business, or entity across systems. Teams use it to profile, standardize, match, deduplicate, and merge data into a trusted golden record for customer 360, KYC, fraud, and master data management. DataMatch Enterprise pairs a visual, code-free interface for business teams with a REST API for developers, so the same matching engine works inside applications, pipelines, and AI agent workflows.