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Once deployed, Kyvos uses the computing capacity of modern data platforms to build process multi-dimensional OLAP cubes semantic models on data at a massive scale. These cubes semantic models pre-aggregate data across multiple dimensions and measures and are stored in a distributed manner across the data infrastructure. As all the heavy lifting is done in advance, these cubes semantic models provide instant responses to queries, enabling quick data analysis. In addition, Kyvos maintains the native data security layer through the cubes semantic models at the storage layer itself, ensuring that users only see the data to which they have access.
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As Kyvos processes and serves queries directly on your data platform, there is no need for any data movement. This saves you from the trouble of sending high-volume data over the network and ensures that your data is safe. Further, the Kyvos cubes semantic models are stored on the data platform, so there are no additional infrastructure requirements. The Kyvos BI server and query engines can be deployed directly on your existing cloud or on-premise data platform.
BI acceleration layer
Kyvos builds processes a BI acceleration layer on the cloud and on-premise data lakes, bridging the gap between your data and the business intelligence and analytics tools. This layer provides a consistent semantic model for business users, making it easy for them to visualize massive data. It allows them to see the dimensions and measures available to them and drag and drop them into their visualizations intuitively using the BI tool of their choice.
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Besides this, Kyvos has an intelligent, multi-level caching mechanism that ensures high performance based on query patterns and usage. It stores segments of the most frequently queried cubes semantic models and caches the results of the most frequent queries in high-performing storage.
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The topmost layer of the Kyvos architecture consists of BI and analytics tools that connect to Kyvos cubes semantic models using standard access mechanisms such as SQL and MDX, enabling users to access massive data instantly and interactively using their choice of BI tools. Kyvos supports all major BI tools, including Business Objects, Cognos, Excel, MicroStrategy, Power BI, Qlik, Spotfire, and Tableau. Kyvos cubes semantic models can also be accessed from data science engines like R and Python to discover data patterns. It supports REST and JAVA APIs that enable integration with custom enterprise applications.
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Kyvos is architected to optimize resource utilization, deal with peak loads, and deliver cost-effective BI on the cloud. The solution can quickly scale up and down without disruption to deliver consistent performance and ensure optimal utilization of resources. As more data gets added to the BI environment, Kyvos scales out transparently to build cubes process semantic models on that data. Similarly, querying capacity can be scaled up or down depending on the expected load. This feature also allows it to support thousands of concurrent users without any impact on performance.
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