MS Fabric with and without Kyvos
How Kyvos Elevates MS Fabric Performance
This document details how Kyvos complements MS Fabric to offer a fully mature solution for semantic modeling and data warehouse performance.
Microsoft Fabric, built over OneLake, is still evolving and does not yet fully meet the scalability requirements of modern organizations. Power BI semantic models also have limited functionalities, particularly when handling large, complex datasets and supporting thousands of concurrent users.
In MS Fabric, both Power BI semantic models on Direct Lake or Synapse as the data warehouse present some limitations in addressing these complexities and meeting the performance expectations of data-heavy organizations.
Kyvos helps overcome all these challenges by offering fast and unified access to data for BI, AI and data science tools, ensuring optimal performance even for large-scale datasets. The platform simplifies analytics, improves query performance and establishes data trust—while delivering speed, scale and cost savings.
What You Gain with Kyvos on MS Fabric
Performance at Scale
Get lightning-fast, consistent performance on Power BI. Eliminate cold caches and lag, all within MS Fabric’s architecture.
Advanced Modeling
Build complex hierarchies and ultra-wide models, missing from Power BI. Ensure seamless performance across massive, intricate datasets.
True Semantic Layer
Leverage a powerful semantic layer that standardizes business logic, hides complexity and unifies data across all cloud platforms and sources.
High User Concurrency
Empower thousands of Power BI users with interactive query speeds and eliminate the need for infrastructure scaling—no compromise on performance.
A Quick Reckoner
| Features | Microsoft Fabric | MS Fabric with Kyvos |
|---|---|---|
| Semantic Models on Power BI | ||
| Query Performance | Degrades with data volume | Consistently fast |
| Semantic Modeling | Limited | Advanced features |
| Data Warehouse Performance (Synapse) | ||
| Concurrency | 128 queries | Unlimited |
| Manual Tuning of Queries | Not required | Very High |
| Database Clustering & Indexing | Mandatory | Not required |