Enhance BI performance and reduce costs with our patented technology built for performance, speed and scale.
Intelligent Data Modeling
ML-powered Smart Recommendations Engine brings intelligence to build smart aggregates and achieve desired performance.
Scalable Analytics
Scale incrementally to add new data without any downtime. Enable thousands of users to run queries with high performance.
Elastic Architecture for Savings
Analytical processing capacity can be scaled up or down based on user demands. Reduce unnecessary cloud costs by releasing resources when they are not needed.
High-Performance Queries
Kyvos data models provide sub-second responses to BI queries across billions of rows, hundreds of dimensions and measures.
Built for the Cloud
Kyvos creates data models directly on the cloud platform, combining the benefits of scalable infrastructure with the multidimensional capabilities of OLAP models.
Conversational Analytics
Generate key business calculations without writing complex queries. Get contextualized summaries of anomalies and outliers directly to your inbox. Ask questions about your data and get answers in business language.
Benefits of GenAI Powered Aggregation Technology
- – 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.
Complex Hierarchies
Complex hierarchies including ragged, unbalanced, recursive, and alternate hierarchies, and custom rollups.
Distinct Count
Accurate distinct count on billions of rows.
Schemas
Support for multi-fact, star, snowflake, and other schema designs, as well as additive and semi-additive functions.
Elasticity and Auto-Scaling
Schedule clusters to scale up and down to deal with predictable load changes without disruption.
Incremental Data Refreshes
Scheduled and automated data refresh feature for adding and replacing data in data models quickly without coding or manual intervention.
Intelligent Caching
Advanced caching features - auto-population, purge, and repopulation. Multi-level caching based on query patterns and analysis of data models.
UI-Based Data Modeling
AI-assisted, code-free visual designer to define relationships between datasets using simple drag-and-drop operations.
High-Performance Analysis
Workflow-based quick analysis to design an OLAP database model with minimal interaction and bootstrapping work.
How Is Kyvos Better Than Legacy OLAP
Legacy OLAP
Features
Kyvos’ AI-Powered Aggregation
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 processing of data models.
Built for on-premises. Has to be retrofitted in the cloud.
Platform Support
Purpose-built for cloud platforms and cloud data warehouses. Also supports on-premise.
ARCHITECTURE
Modern Analytics AI Stack
Learning and Insights
