Today, several enterprises are moving their data workloads to Azure because it can help you scale your storage and offer analytical capabilities to users on an anytime-anywhere basis. However, when business users and analysts use their existing Business Intelligence (BI) tools to connect to massive data on Azure, response times are typically slow, and it becomes challenging to achieve interactive speeds. As a result, they face limitations on the amount of data they can process.
Kyvos eliminates these limitations by bringing SSAS-like capabilities to the analytical ecosystem of Azure. Using its patented Smart OLAPâ„˘ technology, Kyvos leverages the native elasticity of your Azure platform to enable self-service, multidimensional analytics on trillions of data points for users across the enterprise. It also builds a high-performing semantic layer on Azure that simplifies analytics for business users and reduces the workload of your analysts and data engineers.
Download the Solution Brief to learn how Kyvos works with Azure to deliver instant BI on the cloud.
In this solution brief, you will learn how to:
- Perform ad hoc analysis on massive data
- Use existing BI tools for cloud analytics
- Quickly scale up and down for thousands of users and deal with varying loads
- Save costs with elastic BI on the cloud