Patented technology for performance and scalability
Scalable
Patented algorithms enable pre-processing on trillions of rows to create massive data models on the cloud. Scale-out incrementally to add new data without any downtime. Enable thousands of users run queries with high performance.
Intelligent
Kyvos profiles data and studies query patterns to create optimized data models. ML-powered Smart Recommendation Engineâ„¢ brings intelligence to build smart aggregates and achieve desired performance.
Highly Performant
Kyvos data models are fully materialized for speed. Kyvos provides sub-second responses to BI queries across hundreds of dimensions and measures as all combinations are processed in advance.
The Kyvos Advantage
Elastic BI for Cost Savings
Analytical processing capacity can be scaled up or down based on user demand. Reduce unnecessary cloud costs by releasing resources when they are not needed.
Universal Semantic Layer
Simplify data modelling of complex data coming from varied sources. Kyvos semantic layer also enables single source of truth by creating a unified view of all enterprise data.
Built for the Cloud
Kyvos creates data models directly on your cloud platform, combining the benefits of scalable cloud infrastructure with multidimensional capabilities of OLAP cube analysis.
The Ultimate OLAP Guide
How is Kyvos’ Modern OLAP better than Legacy OLAP
Features | Legacy OLAP | Kyvos' Modern OLAP |
---|---|---|
Performance | Deteriorates with scale and concurrency. | Sub-second responses for queries. |
Scale | Limitation on amount of data a single cube can hold. | Create data models on trillions of rows. |
Concurrency | Slows down for higher concurrencies. | Thousands of concurrent users. |
Aggregation | Manual tuning required to decide which aggregates to create. | ML-powered intelligent aggregates. |
Cube Building | Cube build takes longer and consumes more resources as data size increases. | Quick and easy cube building. |
Platform Support | Built for on-premise. Has to be retro-fitted in the cloud. | Purpose built for Cloud platforms and cloud data warehouses. Also supports on-premise. |
5 Reasons to Migrate from Legacy OLAP to Kyvos' Modern OLAP
Quick migration | Automated utility | Unlimited scalability
Modern Analytics Features
Schemas
Support for multi-fact, star, snowflake, and other schema designs, as well as additive and semi-additive functions.
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.
Powerful Querying
Robust querying mechanism intelligently routes, serving queries within seconds.