Microsoft Data Quality Services vs. Anomalo
A side-by-side comparison based on G2 review data.
| Metric | Microsoft Data Quality Services | Anomalo |
|---|---|---|
| Overall rating | 3.9 | 4.4 |
| Review count | 51 | 44 |
| Ease of use | 8.6 | 8.8 |
| Ease of setup | 8.7 | 9.2 |
| Quality of support | 8.3 | 8.9 |
| Meets requirements | 8.7 | 8.4 |
| NPS | 19.148936 | 63.636364 |
| Small Business | 52.9% | 2.3% |
| Mid-Market | 27.5% | 48.8% |
| Enterprise | 19.6% | 48.8% |
| Total page views | 68 | 432 |
| Total LLM citations | 28 | 1,764 |
Microsoft Data Quality Services
SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product.
Anomalo
Anomalo is the agentic data management platform that autonomously monitors, investigates, surfaces, and reports on what matters across your data. No code, no prompts, and no manual tedium required. Using a proprietary data profiling and prediction engine, Anomalo learns the normal behavior of your data and identifies anomalies and noteworthy changes such as drift, missing records, schema changes, PII exposure, contradictions, bias, and more. This deep data understanding is what powers the suite of 9 agents that automate repetitive data tasks.