Scale
Migrating Your AAS 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 AAS?
Traditional solutions like Azure Analysis Services (AAS) struggle to keep up with modern analytics demands. Kyvos data models deliver instant insights on massive datasets with unmatched cost-efficiency.
| Features | Azure AS |  Kyvos |
|---|---|---|
| Performance | DirectQuery lags on large datasets and in-memory models hit capacity limits | Sub-second query responses with AI-powered smart aggregation, ML-driven smart recommendations and self-tuning. |
| Scalability | Fixed instance sizes restrict large-scale analytics. | Unlimited horizontal scaling and can handle any amount of data. |
| Cost Efficiency | High compute and storage costs for large models. | AI-powered aggregates and automatic load-based scaling to minimize compute costs. |
| Pricing | Rigid pricing, leading to unnecessary expenses. | Pay-as-you-go, optimized for cloud. |
| Self-Service Analytics | Limited, often requires IT teams to manage complex queries and data access. | Business-user-friendly, instant exploration and drill-down without IT intervention. |
| Future-Proofing | Being phased out in favor of Power BI Premium. | Long-term scalability and flexibility. |
| Cloud Deployment | Azure-only deployment. | Multi-cloud support (AWS, Azure, GCP) and on-premises flexibility. |
| Storage & Compute | Memory-constrained models that require optimization for large datasets. | Works directly on cloud data lakes and other sources, with no memory constraints. |
| Data Modeling | Basic modeling. | Supports hierarchical, flat, recursive, SCD and columnar storage, along with advanced hierarchies and weighted rollups. |
| BI Tool Integration | Primarily designed for Power BI and Excel. | Works with a broad range of BI tools, including Power BI, Tableau, Looker and Excel. |
| Migration Complexity | Migration is complex due to lock-in, DAX/MDX reliance and memory limits. | Supports any existing Azure AS data models. |
Transformed Analytics at Scale for a Leading Retail Services Provider
1433x faster analytics and 20%+ cost savings on 30x more data.
