IBM NS1 Connect Ratings (September 2025)
This page breaks down IBM NS1 Connect 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 IBM NS1 Connect’s overall reputation. This data-driven overview will show you exactly how IBM NS1 Connect is rated - including how it compares to competitors.
IBM NS1 Connect's Overall Rating Summary
- Average Rating:3.4/5
- Total Reviews:165 reviews
- Sources:G2, Capterra, Trustradius, Trustpilot
- Last updated:September 1, 2025
IBM NS1 Connect Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 4.5/5 | 62+ reviews | 01.09.25 |
 Capterra | 0/5 | 0+ reviews | 14.08.24 |
 Trustradius | 4.5/5 | 18+ reviews | 01.09.25 |
 Trustpilot | 2.4/5 | 85+ reviews | 01.09.25 |
What is IBM NS1 Connect?
IBM NS1 Connect is a managed service for authoritative DNS and traffic steering that improves application performance and network resilience. It offers fast, secure connections with premium DNS, advanced traffic steering, always-on API-first architecture, and rich DNS data analytics. Pricing plans range from free developer accounts to enterprise packages, with features like customizable traffic steering, 100% uptime SLA, and automated DNS management.
🤔 IBM NS1 Connect vs Competitors: How Do Ratings Compare?
Check out IBM NS1 Connect AlternativesFrequently Asked Questions
How many stars is IBM NS1 Connect rated?
IBM NS1 Connect has an average star rating of 3.4 out of 5 stars based on average of 165 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from IBM NS1 Connect public reviews pages on platforms: G2, Capterra, Trustradius, Trustpilot. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for IBM NS1 Connect 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.