SourceForge Spring 2026 Leader
Making Composite Semantic Layers Interoperable
Spring Report 2026 - Momentum leader
This document demonstrates how Kyvos can help save up to 50% of the Snowflake cost and offer many other additional advantages over its data warehouse architecture.
A typical cloud data warehouse like Snowflake charges based on warehouse size and running time. For each query, it performs joins and aggregates, which leads to higher query execution time and eventually, higher costs.
Kyvos helps enterprises drastically reduce costs, improve query performance and enhance their analytics experience. It creates smart aggregates from underlying data sources to serve all queries. This eliminates the load on the underlying data warehouses during querying time, which further results in lower costs. The platform’s distributed architecture boost query performance by serving the queries directly from these smart aggregates.
Halve your data warehouse costs and make your analytics budget stretch further, without sacrificing speed or accuracy.
Get instant insights from your largest Snowflake datasets, right when you need them—so you can make data-led decisions in real-time.
Support thousands of concurrent users for analyzing billions of rows of data, making your analytics grow with your business.
Deliver consistent, self-serve analytics across all BI tools, ensuring your teams always work from a single source of truth.
| Features | Snowflake | Snowflake with Kyvos |
|---|---|---|
| Query Cost | ||
| Query Processing Cost | Higher by 40-50% | Price-performant |
| Additional Source Cost | Yes | No |
| Incremental Refresh | No limit | 1M row capacity |
| License Type | Pay-per-use | Subscription or pay-per-use |
| Semantic Layer Capabilities | ||
| Semantic Layer | Not available | Available |