Scale
New platform update will empower smarter and more real time data analysis and resource utilization across organizations
LOS GATOS, Calif. – Nov 15, 2018 – Kyvos, the industry-leading semantic layer, today announced the availability of Kyvos Version 5, providing businesses with a cloud native way to elastically scale and draw intelligence from exponentially growing data workloads. With instant response times and unlimited scalability, Kyvos semantic layer allows enterprises to glean critical insights from today’s largest datasets while also enabling real-time queries to be run on data as soon as it arrives.
The new platform updates have been designed to better allow business users to gain real-time intelligence from ever increasing datasets. Developed specifically for the cloud, the updates expand upon the commitment to scalability inherent in Kyvos by introducing elastic scalability for querying, allowing businesses to scale up and down more seamlessly as data loads change. This elasticity also allows for improved segmentation of data workloads within organizations, meaning different business units can more readily run queries without slowing down other teams.
“As businesses move large-scale data workloads to the cloud, they are faced with the challenge of delivering self-service, interactive BI to their business users. The semantic layer capabilities delivered in Kyvos version 5 allow enterprises to cost-effectively utilize cloud resources and deliver business intelligence with instant response times to users at a scale that was not possible before,” said Ajay Anand, vice president of products at Kyvos.
Kyvos Version 5 updates also allow businesses to run more real-time queries on data before it enters the model, as well as gain deeper insights on query patterns and data profiles, allowing for the development of smarter data models.
Key highlights of the Kyvos Version 5 update include:
- Designed natively for the cloud: Companies can now more easily and affordably scale up and down elastically with no disruption to deal with peak workloads and usage patterns.
- Smarter analytics: Analysis of query patterns provides insights into how data is being used by business analysts, and this is used for auto tuning and guidance for optimized model design.
- Data profiling: Kyvos provides the ability to profile data that is stored in data lakes and use machine learning to optimize how the data can be transformed or added to the model.
“Most large enterprises have either moved applications and/or data to the cloud or plan to move these in the next few years. Kyvos delivers sub-second responses for most queries using almost any size or type of data, making it possible for these enterprises to build high-performing, cost-effective BI on data solutions in the cloud at scale,” said Claudia Imhoff, president of Intelligent Solutions.
Kyvos is a sponsor of the upcoming AWS re:Invent Conference, taking place Nov. 26-30, 2018 in Las Vegas and will be at booth 116. Members of the media and analyst communities interested in meeting with the company at the conference should contact kyvos@teamlewis.com.
