lyftrondata Ratings (September 2025)
This page breaks down lyftrondata 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 lyftrondata’s overall reputation. This data-driven overview will show you exactly how lyftrondata is rated - including how it compares to competitors.
lyftrondata's Overall Rating Summary
- Average Rating:4.9/5
- Total Reviews:135 reviews
- Sources:G2
- Last updated:September 1, 2025
lyftrondata Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
4.9/5 | 135+ reviews | 01.09.25 |
What is lyftrondata?
Lyftrondata is a no-code data delivery platform that allows users to effortlessly load data from 300+ sources into data warehouses, perform analytical transformations, and gain operational intelligence in BI tools. It features zero maintenance, zero coding infrastructure, multi-level security, and offers significant cost and time savings. The platform supports data extraction, normalization, analysis, virtualization, governance, and sharing, and integrates with technologies like Spark, Kafka, Airflow, Snowflake, Kubernetes, and Superset.
🤔 lyftrondata vs Competitors: How Do Ratings Compare?
Check out lyftrondata AlternativesFrequently Asked Questions
How trustworthy is lyftrondata?
According to G2 review site lyftrondata holds rating of 4.9/5, highlights excellent reputation and user approval as of September 2025.
How many stars is lyftrondata rated?
lyftrondata has an average star rating of 4.9 out of 5 stars based on average of 135 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from lyftrondata 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 lyftrondata 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.