Leading Semantic Layers Compared > MS Fabric Comparison Report
Download the full report if:
- Your query responses take more than a second
- Analytics performance degrades with increasing data volumes
- Analytics costs are unreasonably high
- You have already invested in another data platform than Synapse
- Your data is in an on-premises data lake
- You prefer BI tools other than Power BI
- You want a trusted data source for downstream AI applications
- Your data stack delivers slow performance on complex queries
- Need quick deployment and learning
Executive Summary
Since its launch in 2023, Microsoft Fabric has claimed superior performance, even for complex high-volume datasets. Despite the hype, the product built over OneLake hasn’t yet delivered on this promise and is still not a mature offering. User sentiments indicate issues with scalability to deal with huge data volumes, network technology issues, a lack of key vault and no version control.
Fabric struggles to handle the challenges faced by modern, data-heavy organizations, some of which rely on traditional on-prem architectures. Both approaches offered by MS Fabric—Power BI semantic models on Direct Lake or Synapse as the data warehouse—have their limitations.
Kyvos AI-powered semantic layer is well-equipped and future-ready to handle all such challenges and ensure best-in-class performance, every single time. The platform competes head-on with MS Fabric and offers fully mature solutions for semantic modeling and data warehouse performance. In addition, Kyvos trumps Microsoft Fabric on other parameters.
This document talks about these differences in detail.
A Quick Comparison
| Feature | Kyvos | Microsoft Fabric |
|---|---|---|
| Kyvos vs. Power BI Semantic Models | ||
| Connectivity with Data Platforms | No platform lock-in | Uses only OneLake |
| Query Performance | Consistently fast | Degrades with data volume |
| Semantic Modeling | Advanced features | Limited |
| Kyvos vs. Synapse: Data Warehouse Performance | ||
| Concurrency | Unlimited | 128 queries1 |
| Manual Tuning of Queries | Not required | Very High |
| Database Clustering & Indexing | Not required | Mandatory2 |
| Write operation | No impact | Impacts performance |