PHEMI Health DataLab Ratings (September 2025)
This page breaks down PHEMI Health DataLab ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand PHEMI Health DataLab’s overall reputation. This data-driven overview will show you exactly how PHEMI Health DataLab is rated - including how it compares to competitors.
PHEMI Health DataLab's Overall Rating Summary
- Average Rating:3.9/5
- Total Reviews:6 reviews
- Sources:G2
- Last updated:September 1, 2025
PHEMI Health DataLab Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 3.9/5 | 6+ reviews | 01.09.25 |
What is PHEMI Health DataLab?
PHEMI Health DataLab™ is an integrated big data management system designed for healthcare organizations to enhance innovation and generate value from data by simplifying ingestion and de-identification with NSA/military-grade governance, privacy, and security. It offers features such as advanced de-identification, data governance, privacy by design, and integration with popular data science and business analysis tools. The system supports responsible data sharing, scales to any organization size, and includes over 200 pre-built connectors for data sources.
🤔 PHEMI Health DataLab vs Competitors: How Do Ratings Compare?
Check out PHEMI Health DataLab AlternativesFrequently Asked Questions
How many stars is PHEMI Health DataLab rated?
PHEMI Health DataLab has an average star rating of 3.9 out of 5 stars based on average of 6 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from PHEMI Health DataLab public reviews pages on platforms: G2. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for PHEMI Health DataLab is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.