G2 Vendor Directory

DataMatch Enterprise vs. Data 360 (formerly Salesforce Data Cloud)

A side-by-side comparison based on G2 review data.

MetricDataMatch Enterprise

by Data Ladder

Data 360 (formerly Salesforce Data Cloud)

by Salesforce

Overall rating4.24.2
Review count27769
Ease of use8.07.9
Ease of setup8.87.6
Quality of support7.88.7
Meets requirements9.09.0
NPS46.15384642.090395
Small Business18.5%25.0%
Mid-Market66.7%40.1%
Enterprise14.8%34.9%
Total page views1263,234
Total LLM citations169724

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.

Pros

    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 Instead of relying on outdated information, your employees and AI agents operate from a complete, real-time understanding of your business exactly when it’s needed.

    Pros

    • Platform Integration
    • Ease of Use
    • Easy Integration
    • Data Discovery
    • Integrations
    • Data Integration