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Kinetica and NVIDIA launch business intel platform
Monday, October 2, 2017
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Richard Harris |
Business Intelligence platform with Machine Learning capabilities released by Kinetica and NVIDIA.
Kinetica has announced a new solution combining the power of NVIDIA DGX Station and Kineticas GPU-accelerated database to speed up Tableau queries, providing users the ability to make faster data-driven decisions.
Available immediately from NVIDIA and Kinetica business partner InterWorks, the new solution allows customers of Tableau to modernize their underlying databases to take full advantage of the insight Tableau provides. Customers can more quickly explore their largest data sets to immediately connect to tables, rows and columns, for fast, real-time data exploration, reporting, dashboards, and now machine learning all in one data platform.
Kineticas database platform fits within an existing BI landscape as an immediate self-service speed layer. With Kineticas distributed, in-memory, scale-out architecture, BI query performance improves as queries can run across multiple computers in parallel. SQL queries are able to leverage this enhanced parallel compute automatically before any additional database tuning. Users just point Tableau workbooks to Kinetica and leverage Kineticas ODBC and JDBC connectivity along with SQL-92 support to accelerate Tableau workbooks.
The solution was developed for the NVIDIA computing platform. It is featured on the NVIDIA DGX Station - a whisper-quiet, personal AI workstation that packs the power of 400 CPUs - enabling business analysts and data scientists to bring the power of the data center to their deskside. Businesses can bypass the long wait times of CPU-constrained business intelligence solutions without changing their workflows.
"With the unrivaled processing power of NVIDIAs DGX Station and Kineticas GPU-accelerated database turbo-charging Tableau, users can simultaneously ingest, explore, analyze, and visualize data within milliseconds to make critical decisions and find efficiencies, lower cost, generate new revenue, and improve customer experience," said Amit Vij, CEO and cofounder, Kinetica.
"Traditional computing solutions for business data analytics are having a hard time keeping up amid the huge increase in data available to businesses from sensors, social media feeds and the internet of things," said Jim McHugh, vice president and general manager of DGX Systems, NVIDIA. "This new solution powered by Kinetica modernizes business intelligence by removing data bottlenecks created by slow queries."
Available immediately from NVIDIA and Kinetica business partner InterWorks, the new solution allows customers of Tableau to modernize their underlying databases to take full advantage of the insight Tableau provides. Customers can more quickly explore their largest data sets to immediately connect to tables, rows and columns, for fast, real-time data exploration, reporting, dashboards, and now machine learning all in one data platform.
Kineticas database platform fits within an existing BI landscape as an immediate self-service speed layer. With Kineticas distributed, in-memory, scale-out architecture, BI query performance improves as queries can run across multiple computers in parallel. SQL queries are able to leverage this enhanced parallel compute automatically before any additional database tuning. Users just point Tableau workbooks to Kinetica and leverage Kineticas ODBC and JDBC connectivity along with SQL-92 support to accelerate Tableau workbooks.
The solution was developed for the NVIDIA computing platform. It is featured on the NVIDIA DGX Station - a whisper-quiet, personal AI workstation that packs the power of 400 CPUs - enabling business analysts and data scientists to bring the power of the data center to their deskside. Businesses can bypass the long wait times of CPU-constrained business intelligence solutions without changing their workflows.
"With the unrivaled processing power of NVIDIAs DGX Station and Kineticas GPU-accelerated database turbo-charging Tableau, users can simultaneously ingest, explore, analyze, and visualize data within milliseconds to make critical decisions and find efficiencies, lower cost, generate new revenue, and improve customer experience," said Amit Vij, CEO and cofounder, Kinetica.
"Traditional computing solutions for business data analytics are having a hard time keeping up amid the huge increase in data available to businesses from sensors, social media feeds and the internet of things," said Jim McHugh, vice president and general manager of DGX Systems, NVIDIA. "This new solution powered by Kinetica modernizes business intelligence by removing data bottlenecks created by slow queries."
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