Microsoft Data Quality Services vs. Telmai
A side-by-side comparison based on G2 review data.
| Metric | Microsoft Data Quality Services | Telmai |
|---|---|---|
| Overall rating | 3.9 | 4.9 |
| Review count | 51 | 22 |
| Ease of use | 8.6 | 9.5 |
| Ease of setup | 8.7 | 9.2 |
| Quality of support | 8.3 | 9.3 |
| Meets requirements | 8.7 | 9.0 |
| NPS | 19.148936 | 90.909091 |
| Small Business | 52.9% | 13.6% |
| Mid-Market | 27.5% | 31.8% |
| Enterprise | 19.6% | 54.5% |
| Total page views | 68 | 102 |
| Total LLM citations | 28 | 155 |
Microsoft Data Quality Services
SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product.
Telmai
Telmai is an AI-powered data observability platform that continuously monitors data across every stage of the pipeline—from ingestion to business applications. Designed for structured and semi-structured data, Telmai automatically detects anomalies, drifts, and data quality issues in real-time without sampling, ensuring reliable data for business intelligence, analytics, and AI workloads. Telmai's open architecture enables seamless data quality monitoring across the entire pipeline, integrating with over 250 systems, including data lakes, warehouses, streaming sources, and cloud storage.
- Ease of Use
- Automation
- Data Quality
- Monitoring
- Efficiency Improvement
- Anomaly Detection