Scale
ITC Maratha, Mumbai
June 11, 2026
Unlock Sub-Second Power BI Performance on Billions of Rows
This document demonstrates how Kyvos and Power BI transform enterprise analytics, offering unmatched speed, scale and depth for organizations seeking to maximize the value of their data estate.
Kyvos + Power BI delivers lightning-fast, scalable analytics and rich multidimensional insights—empowering enterprises to unlock the full potential of their data with the visualization power of Power BI and the performance engine of Kyvos. This synergy enables users to perform interactive, rapid exploration on massive datasets, achieving sub-second responses even on billions of rows and for thousands of concurrent users.
While Power BI offers best-in-class visualizations, its native semantic models struggle with large-scale, complex analytics due to memory limits, refresh constraints and limited data modeling capabilities. Kyvos semantic layer addresses these challenges by combining performance, scalability, cost predictability, seamless connectivity and strong governance as organizations grow and change.
What You Gain with Kyvos on Power BI
No Power BI Slowdowns
Sub-second responses on billions of rows—no memory limits, no refresh caps, no degradation at scale
Governed Semantics Across Every Query
One shared definition for every KPI, applied across dashboards, teams and regions—no conflicting numbers
Deeper Insights from Complex Data
Support for complex hierarchies, custom rollups and multidimensional analysis, powering smarter, faster decisions
50%+ Lower Cloud Costs
No query pushdowns to the underlying warehouse, so your Power BI usage stops driving unpredictable compute bills
A Quick Reckoner
| Capability | Power BI Alone | Kyvos + Power BI |
|---|---|---|
| BI Tool Connectivity | Limited (mainly Power BI, Excel) | Named connectors for Power BI, Tableau, Excel (MDX), Strategy, LangChain for AI apps |
| Query Performance | Slows down with data/user growth | Sub-second responses on billions of rows, no degradation with scale |
| User Concurrency | Limited by memory | 1000x users, horizontally scalable |
| Data Scale | 100 GB max instance size | Unlimited, supports massive models |
| Model Size | 400 GB RAM limit | Unlimited |
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