In the News

"Kinetica offers banks and investment firms near-real-time tracking of their risk exposures, allowing them to monitor their capital requirements at all times."

"In 2018, enterprises will start to seriously re-think their traditional data warehousing approach and look at moving to next-generation databases either leveraging memory or advanced processors architectures (GPU, SIMD) or both."

"As AI goes mainstream, it will move beyond just small scale experiments run by data scientists in an ad hoc manner to being automated and operationalized."

"Fortune 500s understand the need for ML in their day-to-day operations and the efficiencies that brings"

"As enterprises move forward with operationalizing AI, they will look for products and tools to automate, manage and streamline the entire machine learning and deep learning lifecycle."

"Appleby said his most immediate tasks will be to “bring in enterprise-grade processes with lifecycle management and couple that with incredible innovation."

"Enterprises will move from AI science experiments to truly operationalizing it."

"Kinetica says tests show that its database performs 1.8 times faster on Power9 than it did on Power8. "

"As enterprises move forward with operationalizing AI, they will look for products and tools to automate, manage and streamline the entire machine learning and deep learning life cycle."

"Kinetica’s newest product release delivers new geospatial capabilities and enterprise-grade features for better performance and user experience, as well as improved efficiency and utilization to drive real-time, location-based analytics and analytic processing"

"Over time, more sophisticated forms of AI will find their way into analytics systems, further improving the speed and accuracy of decision-making."

"AI databases are beginning to pop up in the market as a way to optimize the AI learning and training process for businesses."

"Kinetica’s built-in AI functionality, enterprise-class functionality and ability to run on various platforms including Cisco, Dell, Hewlett Packard (HP), IBM Minsky and NVIDIA® DGX-1™ have made it the preferred partner of choice for Networld."

"In tests, the company returned results for advanced analytical queries on billions of rows of data in less than one second."

"We’re ingesting with those tools that everyone’s using, they plug straight into Kinetica with no effort, we can ingest the data at the speed they can consume it, no one else can do that, and also do real time queries and real time aggregations with SQL92"

"They [Kinetica] have created the same kind of in-memory, columnstore database that the MPP guys have, but instead of parallelizing only over multiple servers, they do within each node, over GPU architectures. "

"“ESRI uses an Oracle database under the covers and is limited to tens of thousands of points that take from minutes to hours to display,” Mizell said. “We can display billions of points in under a second.”"

"Kinetica, which provides a GPU-accelerated database, is adding new geospatial capabilities and enterprise-grade features to help drive real-time, location-based analytics and analytic processing."

"Healthcare organizations are digitally transforming their IT infrastructure to support healthcare analytics, which requires more advanced processing power. Graphics processing units (GPUs) are becoming more popular as organizations search for tools that allow them to process massive amounts of data."

"Many of today’s applications in AI would not be practical—or even possible—were it not for the unprecedented price and performance afforded by the massively parallel processing power of the GPU."

"Hadoop was a significant improvement when one gigabit networking was the norm, but a GPU database is a much better fit for real-time analytics than a traditional data lake."

"The GPU-accelerated in-memory database is destined to become an increasingly popular platform for unifying and operationalizing AI applications. "

"Kinetica announced it is teaming up with NVIDIA DGX Station and InterWorks to deliver a new business intelligence platform designed to eliminate database query delays so that users can make faster data-driven decisions."

"We are excited to unleash the power of a GPU-based architecture on our top clients’ massive data sets"

"Being selected for a Datanami Readers’ or Editors’ Choice Award reflects the approval of top influencers and industry watchers in the Big Data space."

"Now learning from Eric Mizell about @kineticadb#stratadata #bigdata"

"If the enterprise wants to get ahead with Big Data and artificial intelligence, it will have to embrace new forms of infrastructure all the way to the silicon layer."

"As organizations demand more and more from their analytics and data science teams, processing power looms as one of the fundamental roadblocks to easy success."

"analyzing and visualizing large spatial datasets is a challenge. Today’s spatial databases weren’t designed for analysis of such large volumes of data. GPUs provide an opportunity to solve these challenges."

"Artificial intelligence has been around in different forms for decades, but only now is it truly coming of age."

" we have the fastest performance of any GPU-powered database with 100x+ gains over traditional RDBMS/NoSQL/In-memory DBs on 1/10th the hardware with successful production deployments"

"GPU-accelerated computing is the next frontier of computational speed and efficiency."

"I encourage you to check out Kinetica’s product on the AWS Marketplace."

"Kinetica will use the fresh capital to hire more people and open new offices — the startup told VentureBeat that it has just opened a new office in Singapore. "

"Enterprise doesn’t really have that - often, people are duct-taping 5, 10, 20 different open source technologies together to do this. You need to do a lot of work for those technologies to solve problems for an enterprise"

"The in-memory relational database maker, which is distinctive for its use of graphics processing units to accelerate performance, said it will use the funds to invest in engineering, sales, marketing and developing a cloud version of its product."

"The ROI for these companies comes in the form of cost savings, not only from optimization thanks to the data, but from the amount of power it takes to run the hardware, which is considerably less than other solutions. Read more at http://vator.tv/news/2017-06-29-gpu-database-provider-kinetica-raises-50m-series-a#ex61cWs3j4FABFsK.99"

"Kinetica’s capability to speed SQL queries on top of superfast GPU processors has always been one of its main calling cards."

"The San Francisco company is banking that increasing numbers of mainstream computing jobs will run on Nvidia graphical processing units (GPUs), which until recently were used primarily for video games and animation."

"A laundry list of Silicon Valley’s investors like the idea enough to shower the founders with an impressive $50 million Series A."

"Advanced analytics database provider Kinetica wants to tackle the Internet of Things and its data analytics tsunami with a new graphical processing unit (GPU) approach"

"Customers are running very fast OLAP, or analytical processing, on large data feeds, being able to get reports in sub-second time instead of waiting minutes to hours or even instead of getting nightly reports"

"GPU databases bring revolutionary capabilities to IoT data and analytics. First, NVIDIA GPUs take traditional database operations and accelerate them by using thousands of small, efficient cores that are well-suited to performing repeated similar instructions in parallel."

"A product like Kinetica, a GPU-accelerated relational database, allows you to query multi-billion row data tables through SQL and can be your speed layer on top of a data lake."

"Kinetica helps enable real-time response to queries on large, complex, and streaming datasets."

"Kinetica, a provider of GPU-accelerated database technology, is introducing native integration with Tableau."

"Kinetica, today, announced the availability of native integration with Tableau allowing users to simultaneously ingest, explore, analyze, and visualize data within milliseconds"

"The time has come for a data analytics solution that is simple to use, delivers real-time performance, and scales cost-effectively."

"Sporting GPU-accelerated analytics, in-memory processing, scale-out capabilities and more, the Kinetica database now gets a performance boost from the GPU-powered P2 instances"

"Ay, there’s the rub. It’s indexing, contends Kinetica, that makes today’s databases so slow, and the reason these databases need all this indexing is because they’re bound to storage volumes."

"We needed a database that was accelerated on GPUs, Kinetica provide that framework for us"

"Now there is another application that is emerging as an accelerated workload on GPUs, which is the relational database that is at the heart of most business systems and that has scale issues just like HPC simulation and modeling and machine learning did that can be addressed by the parallel nature of GPUs and their very high memory bandwidth"

"Kinetica and Fuzzy Logix will target the most time sensitive and compute-heavy applications in healthcare, financial services, and retail."

"Fuzzy Logix, which offers in-database analytics, and Kinetica, a provider of GPU-accelerated database, have announced a partnership to offer a joint solution."

"targeted at the most time-sensitive and compute-heavy applications in financial services, retail, and healthcare, where speed and scale are critical for real-time data insights and competitive advantage."

"GPU acceleration provides unmatched performance and many internet giants such as Google and Amazon are incorporating the GPU-based infrastructure. "

"GPUs are playing a major role in accelerating applications in areas such as numerical analytics, medical imaging, computational finance, bioinformatics, and data science"

"The GPUs’ massively parallel processing is now powering a new class of databases"

"Organizations are demanding more from their data analytics efforts"

"FME 2017 can now read and write to Kinetica, including geometry data, allowing data to be transformed and manipulated in FME workflows."

"Kinetica makes it possible for Machine Learning and Data Science workloads to be performed in-database and to take advantage of the GPU."

"“AI driven analytics” addresses the needs of the enterprise’s digital business and getting access to information"

"No special skills needed to leverage advanced analytics from GPUs in the cloud."

"he Kafka API ensures integration between the Kafka topic stream and the Kinetica instance."

"Kinetica is essentially challenging two pillars of the IT industry at the same time."

"Kinetica has announced the availability of in-database analytics via user-defined functions"

"The idea behind the UDFs is to let the data scientists continue to write the code, to register the code in the Kinetca database, and then enable data analysts to call that code."

"GPUs are sparking new interest as parallel processing engines for highly scalable database and analytics tasks."

"It is just a matter of time before the various analytical methods converge – BI, AI, machine learning, prescriptive etc."

" If organizations can “democratize” data access and make it easier for advanced BI users to call these libraries, then they can start to get more value from their data"

"Kinetica adds in-database user functions, allowing ML library calls right from its GPU-accelerated analytics platform"

"We can do some interesting things with advanced analytics; that traction is driving enormous interest from customers,"

"One of the things I like about Kinetica is it gives us more of a general-purpose use of the technology"

"Changes in 2017 will provide everything needed for putting cognitive computing capabilities within reach of most organizations."

"Every year, a wide array of Big Data companies send me their executives' predictions for the upcoming year."

"Real change is coming to real-time intelligence in 2017 with graphical processing units - See more at: http://sdtimes.com/whats-horizon-2017/#sthash.MPtg6GzS.dpuf"