Kyvos + Azure
Simplifying Azure Analytics with Next-Generation OLAP

Build a modern BI architecture on Azure with built-in elasticity and perform complex, multidimensional analytics on your cloud workloads with unmatched performance and unlimited scalability.

Scale Limitlessly

Analyze trillions of rows of data with sub-second response times

Multidimensional Semantic Model

Next-generation OLAP technology enables aggregation at a massive scale

Save Costs

Quickly scale up and down based upon the expected loads

Use any BI Tool

Power your existing BI Tools for high performance on Azure

Enterprise Security

Secure BI with no need to move data out of Azure storage

High Concurrency

Enable access to thousands of users without any impact on performance

Interactive BI at Massive Scale

Enable interactive analytics on trillions of rows of data on Azure for users across your enterprise. With Kyvos, your users can create summary reports on years of enterprise data or deep dive into the most granular details, all within seconds. Kyvos installs directly on your Azure platform and delivers unbelievable performance at a massive scale with high concurrency while saving costs on the cloud.

Interactive BI at Massive Scale

Next-Generation OLAP on the Cloud

Next-Generation OLAP Technology

Our innovative OLAP technology leverages the scalability and flexibility of your Azure platform to build massively scalable cubes. Data is pre-aggregated into multidimensional cubes using HDInisght or Databricks on Azure. As all the combinations are processed in advance, there is no latency, and users get instant responses to queries across hundreds of dimensions and measures.

Autoscaling Reduces Costs

Scale analytics up and down without disruption to deliver consistent performance during spikes and shrink costs during lean periods. Depending upon the load, you can schedule your querying capacity to scale up automatically to deal with peak loads, and then scale down to release resources when they are not needed.

Autoscaling Saves Costs

Integrates with BI and Data Science Tools

Multidimensional Analytics using Any BI Tool

Build cubes on hundreds of dimensions and measures with Kyvos and perform complex multidimensional analytics on the cloud without the need to write any code. Query, filter, slice and dice, drill down, and visually explore extremely large datasets on Azure using your existing BI tools or any other tool you like. Kyvos delivers high performance on Power BI and Excel. It also supports other BI Tools such as Tableau, Qlik, MicroStrategy, and more.

Unified Semantic Model

Kyvos provides a unified semantic model that delivers a consistent data view for users across the enterprise. All metadata can be defined in Kyvos, eliminating the need to write complex logic in multiple tools. Users can then view the dimensions and measures that are available to them in their BI tool and drag and drop them into their visualizations in an intuitive way.

Secure BI on Azure

Secure BI on Azure

Enterprise-class data security at multiple levels, including row and column level security, ensures that users only see what they are authorized to see. With no data movement, Kyvos maintains the native data security layer through the cubes at the storage layer itself. The Kyvos cubes are stored and cached in Azure Data Lake Storage (ADLS) GEN 2. It works seamlessly with the security and access management features of the Azure platform.

Kyvos+Azure Diagram

WEBINAR

How the Cloud will Shape the Future of Enterprise BI

With enterprises moving to cloud for efficiency, reliability, and reduced costs, it is destined to shape the future of enterprise BI. Watch this webinar to learn about the latest trends.

WEBINAR

How to Achieve Self-Service BI on the Cloud at Massive Scale

Hear Andrew Brust, Analyst – Gigaom Research, discuss why enterprises must embrace Cloud to accelerate their growth and decision making.

BLOG

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Case Study Azure Whitepaper

Bringing the Power of Multidimensional Analytics to Big Data Workloads on Microso¬ Azure

Delivering interactive analytics on large and complex datasets on Azure is challenging, especially when timelines are aggressive, and there is no tolerance for latency. This whitepaper presents a revolutionary approach that will change the way your users interact with their data on the Azure platform.