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Universal Semantic Layer : The foundation for instant, actionable, agentic analytics

New Version Delivers a Quantum Leap in Capabilities, Speed and Scale for Analytics on Data and Cloud Platforms

LOS GATOS, Calif. – August 15, 2017 – Kyvos, a semantic layer for AI and BI, today announced the immediate availability of Kyvos 4.0, a new, groundbreaking version of the massively scalable semantic layer, that establishes new enterprise-grade functionality and industry benchmarks for creating data models with near limitless scalability and performance.

Kyvos 4.0 delivers unmatched levels of scalability, performance, and support for concurrent users, enabling organizations to provide self-service, interactive analytics on data at scale—for all users across the enterprise. With breakthrough technology, Kyvos 4.0 allows BI analysts to create and store multidimensional data models that contain an unprecedented amount of information. By leveraging Kyvos semantic layer, organizations can easily manage and store models and run queries with instant response times for previously unachievable levels of interactive performance and analysis.

“We are seeing customers bring data into Kyvos at scales and cardinalities that were previously unthinkable with other approaches, while still realizing the instant response times and interactive access that their business users demand,” said Ajay Anand, vice president of products at Kyvos. “With Kyvos 4.0, we have added more enterprise-grade capabilities to scale out deployments to thousands of users, while providing fine-grained access control for uncompromised security. This is truly transforming the way enterprises get insights from data at scale.”

“Enterprises today are looking to take advantage of the insights that emerge from the analysis of vast amounts of information in data lakes. However, the desired benefits of business intelligence on this data are pushing traditional business intelligence tools to the breaking point due to a lack of scalability and slow response times,” said John L. Myers, managing research director at Enterprise Management Associates (EMA), a Boulder, Colo. analysis firm. “Kyvos 4.0 enables organizations to implement BI on their data with the scale, flexibility, and speed of implementation they need.”

New advances in Kyvos 4.0 include:

Scale-Out Architecture for Concurrent Access
The newest version of Kyvos introduces an active-active load balancing architecture for scale-out deployments to thousands of users across the enterprise. It provides near-linear scalability with minimal degradation as new users are added while providing enterprise-class high availability. Typically, SQL on data solutions degrades rapidly as concurrent access increases. Kyvos delivers the capability to deal with hundreds of concurrent requests with minimal degradation.

Support for Elastic Deployments
Kyvos’ query servers can now be re-sized based on the usage needs to support elastic deployments. Query servers can be expanded to deal with increased loads or decreased during off-peak hours. This enables optimal utilization of cluster resources in both on-premise deployments as well as cloud deployments on Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform.

Data Models at Unprecedented Scale
Kyvos continues to deliver enhancements and optimizations to deal with ever-increasing data sizes at customer deployments, including the capability to conduct exact distinct counts on cardinality in the billions. Current use cases include datasets with hundreds of billions of rows, hundreds of dimensions and measures, and ultra-wide data models.

Enhanced Support for BI Tools with Instant Response Times
Kyvos now provides seamless access to data at scale, with support for SQL and MDX APIs. As a result, enterprises can use their BI visualization tool of choice, including Tableau, Microsoft Power BI, Microsoft Excel, Qlik, MicroStrategy, IBM Cognos, and SAP Business Objects with response times in seconds. Performance testing with Star Schema Benchmark data has shown query times using Kyvos are on an average 100 times faster than native SQL queries on Hadoop. As such, iterative analysis on large-scale data can take place in seconds, and business user dashboards are refreshed in near real-time.

Enterprise-wide Access to Data at Scale, with an Eye Towards Security
As more analysts are able to access data, maintaining security is critical. The newest version of Kyvos offers advanced role-based security for managing multiple groups so companies have confidence that their most trusted data is secure. Kyvos provides row and column level security for fine-grained access control, integration with Hortonworks Apache Ranger and Cloudera Apache Sentry, pluggable encryption, and integration with enterprise single sign-on (SSO) tools such as SiteMinder and Okta. Kyvos is designed to seamlessly integrate with enterprise security frameworks for uncompromised security.