Cloudera Data Flow Ratings (September 2025)
This page breaks down Cloudera Data Flow 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 Cloudera Data Flow’s overall reputation. This data-driven overview will show you exactly how Cloudera Data Flow is rated - including how it compares to competitors.
Cloudera Data Flow's Overall Rating Summary
- Average Rating:4.2/5
- Total Reviews:20 reviews
- Sources:G2, Gartner
- Last updated:September 1, 2025
What is Cloudera Data Flow?
Cloudera DataFlow is a cloud-native data service powered by Apache NiFi that facilitates universal data distribution by streamlining the end-to-end process of data movement. It offers features such as 450+ agnostic connectors, no-code developer self-service, and auto-scaling capabilities for building and deploying scalable data pipelines. Cloudera DataFlow supports flexible deployment options including public cloud, private cloud, and Kubernetes, ensuring seamless data movement across hybrid environments.
🤔 Cloudera Data Flow vs Competitors: How Do Ratings Compare?
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How trustworthy is Cloudera Data Flow?
According to Gartner review site Cloudera Data Flow holds rating of 4.3/5, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is Cloudera Data Flow rated?
Cloudera Data Flow has an average star rating of 4.2 out of 5 stars based on average of 20 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Cloudera Data Flow public reviews pages on platforms: G2, Gartner. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Cloudera Data Flow 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.