Azure Data Catalog vs. DataMatch Enterprise
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Catalog | DataMatch Enterprise |
|---|---|---|
| Overall rating | 4.1 | 4.2 |
| Review count | 13 | 27 |
| Ease of use | 8.4 | 8.0 |
| Ease of setup | 8.6 | 8.8 |
| Quality of support | 8.4 | 7.8 |
| Meets requirements | 8.6 | 9.0 |
| NPS | 41.666667 | 46.153846 |
| Small Business | 30.8% | 18.5% |
| Mid-Market | 38.5% | 66.7% |
| Enterprise | 30.8% | 14.8% |
| Total page views | 69 | 126 |
| Total LLM citations | 12 | 169 |
Azure Data Catalog
Azure Data Catalog is an enterprise-wide metadata catalog enabling self-service data asset discovery. The Data Catalog stores, describes, indexes and provides information on how to access any registered data asset and makes data source discovery trivial.
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.