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Patented technology for performance and scalability

Smart Pre-Aggregation Technology


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.



Kyvos profiles data and studies query patterns to create optimized data models. ML-powered Smart Recommendation Engine™ 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

In today’s world, where a Google search typically brings results in less than 100ms, how long can you wait to get responses to queries on your enterprise data? Well, you don’t have to! Learn how with our ultimate OLAP guide for business intelligence.

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


Complex hierarchies including ragged, unbalanced, recursive, and alternate hierarchies, and custom rollups.

Distinct Count

Accurate distinct count on billions of rows.


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

Visual, code-free designer to define relationships between datasets using simple drag and drop operations.

Quick Analysis

Workflow-based quick analysis to design an OLAP database model with minimal interaction and bootstrapping work.

Powerful Querying

Robust querying mechanism intelligently routes, serving queries within seconds.




The Hitchhiker’s Guide to OLAP



Cloud Analytics: Think Big with Smart OLAP™



The Need for OLAP on the Cloud



4 Ways in which Smart OLAP™ Serves the Data Science Process



Data Vault Acceleration with Kyvos’ Smart OLAP™


Case Study

Leading Telecom Accelerates Time-to-Insights on 150 Billion Viewer Interactions

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