In the News
December 23, 2016
"When clouds get juiced with big GPUs, it will rain insights"
December 21, 2016
"Here's a database that delivers real time for real."
December 19, 2016
"A major breakthrough came with the advent of the Graphical Processing Unit (GPU) and its use in data analytics."
December 19, 2016
"Given the dramatic improvements in performance offered by GPUs, other cloud service providers can also be expected to begin deploying GPUs in 2017."
December 15, 2016
"Such ‘speed of thought’ analyses would not be possible were it not for the unprecedented performance afforded by hardware acceleration of in-memory data stores"
December 14, 2016
"The one common thread they all seek is more accelerated computational power (at reasonable economics) to do even more advanced things."
December 8, 2016
"he sub-second times it took for the GPU-accelerated Kinetica configuration to complete the three functions tested are barely noticeable in this graph compared to the times for the unaccelerated SAP HANA configuration."
December 1, 2016
"The cognitive era of computing will make it possible to converge artificial intelligence, business intelligence, machine learning and real-time analytics in various ways that will make real-time intelligence a reality."
November 29, 2016
"GPUs are purpose-built for repetitive tasks at parallel with thousands of cores for aggregation, mathematics, and those type of things."
November 17, 2016
"What isn’t generally known about Kinetica is how radically simplified its schematics have been engineered to be."
November 17, 2016
"These programs were developed to help organizations quickly install and configure Kinetica within their enterprise environment and speed up the deployment of their GPU-accelerated solutions."
November 10, 2016
"he end result is a blazingly fast database that can deliver intelligence in near real time."
November 1, 2016
"Two new software and services offerings designed to help customers quickly ingest, explore and visualize streaming data sets, including for Internet of Things (IoT) use cases, by leveraging the power of GPUs."
October 31, 2016
" Kinetica can process over a billion simple operations – such as calculating minimum and maximum values in a data store – in less than a second"
October 31, 2016
"Kinetica has introduced two new software and services offerings designed to help customers ingest and use streaming datasets through use of GPUs"
October 18, 2016
"I just think it’s just exciting to watch people’s eyes when they say, “Oh, can you really explore that fast?”"
October 17, 2016
"Kinetica strengths lie in its ability to provide a high-performance and highly scalable offering that makes great use of GPUs that work well for high cardinality workloads."
October 6, 2016
""As GPUs become viable across a much broader number of use cases, the hardware debate in the enterprise now involves a much more diverse set of options than any time in recent memory.""
October 3, 2016
September 27, 2016
"Hear Mark Brooks on the "NVIDIA GPU-accelerated databases, visualization, and analytics" panel"
September 26, 2016
"New VC funding led by Ray Lane"
September 26, 2016
"The round was led by existing backer Ray Lane, Managing Partner of GreatPoint Ventures and former Oracle President and Managing Partner of KPCB"
September 22, 2016
"You can’t even see the lag with the Kinetica database. It is well under sub-second response time."
September 21, 2016
"Kinetica uniquely addresses the new paradigm of data by accelerating the data center infrastructure"
September 8, 2016
September 8, 2016
"Nvidia's NVLink interface in IBM's new server gives a five-fold speed boost to communications between CPUs and GPUs"
August 8, 2016
"Kinetica supports 15,000 concurrent users and analyzes data from more than 213,000 scanning devices in order to streamline business processes."
July 25, 2016
"Kinetica is helping to fill a niche in the real-time analytics that open source big data tech can’t fill at the moment. "
July 13, 2016
"GPUs are fantastic for workloads dependent on heavily parallelized matrix math"
June 23, 2016
April 11, 2016
"GPU optimized databases are rapidly moving from science project to business reality"
October 8, 2014
"Built-in support for geospatial objects makes it a natural for tracking physical assets"