Scale
Migrating Your SSAS Workloads
Is as Easy as 1-2-3
Kyvos is designed to fit into your existing stack, not disrupt it. Your stack stays intact and users stay happy. Here's how:
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Step 1
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Step 2
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Step 3
Connect Kyvos to your data
Point Kyvos directly at your cloud data lake,
warehouse or on-prem source.
Map your data to Kyvos models
Automatically create semantic models
from your existing data.
Point your reports to Kyvos in one click
Redirect your Power BI, Tableau or
Excel reports to Kyvos.
Data Models That Reflect the Way
Your Business Actually Works
Ultra-wide
Model your entire business, not a
slice of it
- Thousands of dimensions and measures in a single unified model
- Cross-domain semantics (finance, sales, operations, supply chain, product)
- No fragmentation across teams, tools or departments
Ultra-deep
Capture true business logic, not
surface-level metrics
- Multi-level hierarchies and nested relationships
- Time intelligence, complex calculations and calculated measures
- Business logic defined once—consumed everywhere, consistently
High-grain multidimensional analytics
Handle the full breadth and depth of your analytical needs by capturing business complexities in a single model
Drill anywhere across 25+ levels
Support for recursive, alternate, unbalanced, ragged and parent-child hierarchies
Execute complex calculations instantly, no performance degradation
Why Choose Kyvos Over SSAS?
Traditional solutions like Microsoft SQL Server Analysis Services (SSAS) struggle to keep up with modern analytics demands. Kyvos data models deliver instant insights on massive datasets with unmatched cost-efficiency.
| Features | SSAS |  Kyvos |
|---|---|---|
| Performance | Performance degrades with large datasets, requiring optimization and tuning | Lightning-fast query performance with AI-powered smart aggregation on cloud and on-prem data lakes |
| Scalability | Limited scalability, struggles with enterprise-scale multidimensional models | Infinite scale, handling petabytes of data across distributed environments |
| Cloud-Native | Designed for traditional on-prem environments, limited cloud capabilities | Fully cloud-native, optimized for AWS, Azure and GCP |
| Data Processing | Requires ETL processes and pre-processed data loading | Directly connects to data lakes and other sources, eliminating the need for data movement |
| Cost Efficiency | High cost due to expensive storage and compute requirements | Lower storage and compute costs with optimized architecture |
| Self-Service Analytics | Requires IT and BI team intervention for complex queries | Business users can explore and drill down into any scale of data instantly |
| Security & Governance | Security dependent on underlying SQL Server configuration | Enterprise-grade security with granular role-based access controls |
| AI & ML Readiness | Limited support for AI-driven analytics | Seamless integration with AI/ML workloads and advanced analytics tools |
Personalized Offers for 25M
Players Across 900 Brands
Driving retention and growth for the world’s biggest betting company by powering high-performance analytics on 30TB data
