Leading Semantic Layers Compared > Dremio Comparison Report
How Kyvos Delivers High Speed Querying at Low Costs
The Kyvos Advantage Over Dremio
Download the full report if:
- Your query responses take more than a second
- Analytics costs are going through the roof
- Analytics performance degrades with increasing data volumes
- You want a trusted data source for supercharging downstream AI applications
- User concurrency is limited by memory
- Deployment costs are higher for huge, complex datasets
- There’s no unified and standardized view of data
- You need advanced Gen AI capabilities for true self-serve analytics
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.
Dremio is a data lakehouse platform for SQL-based analytics, based on community-driven standards like Apache Iceberg and Apache Arrow. The platform incurs high querying costs and performance degradation when handling large datasets, complex queries and high-concurrency workloads due to its distributed computing and in-memory processing.
A Quick Comparison
| Feature | Kyvos | Dremio |
|---|---|---|
| BI & AI Tool Connectivity | ||
| Excel Add-in | Yes | No* |
| LangChain | Yes | No* |
| Querying Languages | ||
| MDX | Yes | No |
| DAX | Yes | No |
| Query Performance | ||
| Speed | 1 second with 1.5 TB data | Up to 17 seconds on 10 GB data |
| User Concurrency | 1000+ | Limited |
| Data Refreshes | ||
| Data Refresh | All data sources supported | Only Delta Lake tables, CSV files |
| Incremental Data Refresh | No limits | Limited |