Scale
Migrating Your Essbase 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 Essbase?
Traditional solutions like Essbase struggle to keep up with modern analytics demands. Kyvos data models deliver instant insights on massive datasets with unmatched cost-efficiency.
| Features | Essbase |  Kyvos |
|---|---|---|
| Performance | Slows down with large datasets, requires tuning. | AI-powered smart aggregation, ML-driven smart recommendations and self-tuning for sub-second queries on massive data. |
| Scalability | Struggles with enterprise-scale multidimensional models. | Dynamically scales with distributed architecture to handle petabytes of data and thousands of users. |
| Cost Efficiency | High licensing and infrastructure costs. | Lower compute costs with cloud-native elasticity, load-based scaling and price-performant querying. |
| Self-Service Analytics | Requires IT intervention for complex queries. | Instant ad hoc, granular analysis at any scale, no IT dependency. |
| Security & Governance | SQL Server-based security model. | Enterprise-grade security and granular access controls. |
| Cloud Deployment | Primarily on-prem, cloud support is limited. | Supports multi-cloud (AWS, Azure, GCP) and on-premises deployments. |
| Data Modeling | Rigid data model structures with in-memory limitations. | Supports hierarchical, flat, recursive, SCD and columnar storage, along with advanced hierarchies and weighted rollups. |
| Data Processing | Requires ETL and pre-processing. | Directly connects to data sources. |
| BI Tool Integration | Limited to the Oracle ecosystem. | Works seamlessly with Power BI, Tableau, Looker, Excel and many more. |
| AI & ML Readiness | Limited support for AI-driven analytics. | Integrates seamlessly with AI/ML workloads. |
Fast Multidimensional Analytics on Advanced Hierarchies for 100s of concurrent users
5-hour Essbase financial adjustments reduced to seconds at a leading global retail bank
