Scale
ITC Maratha, Mumbai
June 11, 2026
Achieve Speed, Scalability and Savings with Kyvos on GBQ
This document demonstrates how Kyvos can help save up to 65% of the Google BigQuery cost and offers significant performance advantages over its data warehouse architecture.
A typical cloud data warehouse like GBQ charges based on warehouse size and running time. For each query, it performs joins and aggregates, which leads to higher compute resource usage and eventually, higher costs.
With Kyvos added to the analytics stack, enterprises can scale their analytics while maintaining unmatched speed and cost-effectiveness. By leveraging its AI-powered smart aggregation technology, Kyvos creates massively scalable data models with no constraints of speed or complexity. The platform’s intuitive drag-and-drop interface, robust integration capabilities and advanced analytics features make it accessible for both technical and non-technical users.
What You Gain with Kyvos on GBQ
GBQ Costs Reduced by 65%
Run enterprise-grade analytics on GBQ without blowing up your cloud budget.
High-Speed Analytics
Query billions of rows and get responses in sub-seconds, even for complex datasets.
High User Concurrency
Support thousands of concurrent users at once, without performance slowdowns.
Full Flexibility
Optimize how you manage and query data with built-in partitioning. Less compute and more control.
A Quick Reckoner
| Features | GBQ | GBQ with Kyvos |
|---|---|---|
| Querying Cost | ||
| Cost of BI Queries | Over $500k | $200K |
| Query Performance | ||
| Query Push-Down | Sends requests to the underlying table every time. | Reads data only once from the source. |
| Speed | Takes 8-9 seconds. | Less than 3 seconds |
| Partitions | Limited | Full flexibility to users |
| Replace Partitions | Limited | Full flexibility to users |
Get the Highlights
