DataTrust
Reviews
Star rating
Rank in Data Quality
Pros and cons
Pros
- User Interface
- Time-saving
- Ease of Use
- Issue Resolution
- Duplicate Management
- Bug Detection
Cons
- Performance Issues
- Slow Performance
- Complex Setup
- Slow Loading
- Bug Issues
- Integration Issues
Traffic & LLM citations
Source: G2 review data
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 40.0% |
| Mid-Market | 26.7% |
| Enterprise | 33.3% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2024 Q4 | 1 | 4.5 |
| 2025 Q2 | 1 | 5.0 |
| 2026 Q3 | 1 | 3.5 |
Satisfaction ratings
What reviewers say
Powerful Cross-Database Data Quality Checks with an Easy UI
“* Disparate database dataset ingestion is very powerful. Being able to access datasets from sql, non sql, hierarchical databases for data validation and reconciliation in one tool speeds up data quality design and checks. * the UI provides an easy and quick way to spin up and cr”
Great client to work with
“We use DataTrust. The UX experience is very good. It has a very visual interface that allows you to map data flow and validation rule. It has allowed us to test with 2 QA more than we could ever test before with 4 QA. It's quick to learn and be productive with. As we have gotten ”
Flexible Data quality tool for data validation, profiling and reconciliation
“Right data has been a powerful data quality tool that helped us in reconciliation while migrating data from Hana to Snowflake. It is very easy to use and doesn't need any coding to setup the validations using drag and drop functionality. RDt team is quick to work on the issues ”