DataLakeHouse.io Ratings (September 2025)
This page breaks down DataLakeHouse.io 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 DataLakeHouse.io’s overall reputation. This data-driven overview will show you exactly how DataLakeHouse.io is rated - including how it compares to competitors.
DataLakeHouse.io's Overall Rating Summary
- Average Rating:4.3/5
- Total Reviews:4 reviews
- Sources:G2, Capterra
- Last updated:September 1, 2025
G2
CapterraWhat is DataLakeHouse.io?
DLH.io is a Data Orchestration and Data Security Platform offering a suite of data tools including ELT, PII Data Security, and industry-specific pre-built models with reporting and AI/Machine Learning for actionable insights. It features data orchestration, synchronization, analytics dashboards, and PII data scanning, enabling operations and data teams to turn data into insights and assets faster. The platform supports 100+ source integrations, automates data pipelines, and provides pre-built analytics for visualizing application insights.
🤔 DataLakeHouse.io vs Competitors: How Do Ratings Compare?
Check out DataLakeHouse.io AlternativesFrequently Asked Questions
How trustworthy is DataLakeHouse.io?
According to G2 review site DataLakeHouse.io 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 DataLakeHouse.io rated?
DataLakeHouse.io has an average star rating of 4.3 out of 5 stars based on average of 4 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from DataLakeHouse.io public reviews pages on platforms: G2, Capterra. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for DataLakeHouse.io 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.