Leading Semantic Layers Compared > Denodo Comparison Report
Download the full report if:
- Your query responses take more than a second
- Analytics performance degrades with increasing data volumes
- Analytics costs are going through the roof
- There’s no unified and standardized view of enterprise data
- You want a trusted data source for downstream AI applications
- Your data stack delivers slow performance on complex queries
- You need advanced Gen AI capabilities for true self-serve analytics
- Data refresh takes too long and doesn’t support all data sources
Executive Summary
Kyvos is a true universal semantic layer that simplifies analytics, improves query performance and establishes data trust for leading global enterprises—without any constraints of speed, scale or cost. The platform enables end-to-end analytics with its analytical data store and a native visualization layer.
Denodo, powered by data virtualization, is a data integration, management and delivery solution. Its semantic layer offering is quite limited and lacks the capabilities to deal with terabytes of enterprise data, billions of records and thousands of concurrent users. Due to in-memory limitations, the platform costs much more than Kyvos’ disk-based caching and pay-per-use model.
This document explains the advantages of Kyvos over Denodo.
A Quick Comparison
Feature | Kyvos | Denodo |
---|---|---|
Key Capabilities | Full-capacity semantic layer | Limited-capability visualization layer |
Distinct Count Function | Inbuilt | Manual calculation |
Dynamic Time Series Calculations | Supported | Not supported |
Quick Data Modeling | Supported | Not supported |
Query Performance | ||
Speed | Sub-second responses | Depends on the underlying source execution engine1 |
Querying Costs | ||
Additional Source Cost | Reads data only once | Sends queries to data source every time2 |
Query Processing | Price-performant disk-based caching | Expensive in-memory processing |