Retire Legacy OLAP Tools
Enhance BI performance and reduce costs with a modern and highly scalableÂ
semantic layer built for the cloud
Your perfect replacement for
Multidimensional Analytics on Cloud
Migrate legacy OLAP use–cases to a cloud-native semantic layer that delivers interactive, granular analytics on raw or aggregated data.
No In-Memory Limitations
Distributed architecture and support for parallelism enable faster aggregation and querying on billions of rows.Â
Reduced Analytical Costs
4x reduction in analytics costs with an optimized infrastructure. Increase ROI on cloud initiatives.Â
Conversational Data Interactions
Empower every user to engage with KPIs using simple business language for actionable, data-driven insights in seconds.Â
Support for All BI Tools
Use any BI or analytics tool for sub-second querying without depending on any extracts or imports.Â
Our Technology
Benefits of GenAI Powered Semantic LayerÂ
- – Supercharged analytics with high query performance at massive scale
- – Simplified data modeling to map complex business use cases
- – AI-based smart aggregation and intelligent caching to reduce querying costs
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FEATURES
Modern analytics features
From simplified analytics and a single source of data for LLMs to standardized data interpretation, our semantic layer acts as a critical building block of a modern data and AI stack.
Codeless Data Exploration  
Talk to your data in business language with full confidence in the accuracy of results.
High Concurrency 
Support for thousands of concurrent users across the branches and business units.
Single Source of Truth Â
Hide data complexities and standardize business logic across the enterprise.
Incremental Data RefreshesÂ
Advanced caching features – auto-population, purge, and repopulation. Multi-level caching based on query patterns and analysis of data models.
UI-Based Data ModelingÂ
AI-assisted, code-free visual designer to define relationships between datasets using simple drag-and-drop operations.
Complex Hierarchies
Complex hierarchies including ragged, unbalanced, recursive, and alternate hierarchies, and custom rollups.
High-Performance AnalysisÂ
Workflow-based quick analysis to design an OLAP database model with minimal interaction and bootstrapping work.
Elasticity and Auto-ScalingÂ
Schedule clusters to scale up and down to deal with predictable load changes without disruption.
How Is Kyvos’ Semantic Layer Better Than Legacy OLAP
Legacy OLAP
Features
Kyvos Semantic Layer
Deteriorates with scale and concurrency.
Performance
Sub-second responses for queries.
Limitation on the amount of data in a single cube.
Scale
Create data models on billions of rows.
Slows down for higher concurrencies.
Concurrency
Thousands of concurrent users.
Manual tuning is required to decide which aggregates to create.
Aggregation
ML-powered intelligent aggregates and caching.
Cube build takes longer and consumes more resources as data size increases.
Cube Building
Quick and easy cube building.
Built for on-premises. Has to be retrofitted in the cloud.
Platform Support
Purpose-built for the cloud. Also supports on-premises.
EBOOK
The Ultimate OLAP Guide
OLAP is a proven technology that eliminates analytics latency and delivers instant query responses on business data. Download this ebook to learn more about Modern OLAP.
BLOG
5 Reasons to migrate from legacy OLAP to Kyvos’ modern OLAP
Legacy OLAP solutions face limitations while handling data explosion and growing analytical complexity.
ARCHITECTURE
High-performance analytics on the cloud
