In the News

"Conventional analytic databases are not fully vectorized because they simply have too much tech debt to take advantage of this innovation and vectorize all their operations."

"This workbook contains an end-to-end pipeline that connects to streaming data sources via Kafka, performs spatial computations to detect different events and patterns, and then streams these to an external application."

"Kinetica can be used to accelerate a wide range of analytical tasks, including data transformation, filtering, aggregations (sums, averages, counts), and even machine learning inference."

"The value that customers receive from Kinetica is reflected in the doubling of its customer base."

"Organizations creating the next generation of data driven applications based on sensor and machine data continue to choose Kinetica for its unrivaled real-time analytical and processing power of time-series and geospatial data."

"Organizations that excel at data analytics overcome the science's limitations by embracing a growth mindset"

"Having a free open source product is good. So is having a software-as-a-service (SaaS) offering."

"Spatial thinking will help innovators optimize existing operations and drive long-promised digital transformation in smart cities, connected cars, transparent supply chains, proximity marketing, new energy management techniques, and more."

"With Kinetica, a real-time data analytics database, clients can maintain fresh data through shortening the times of data latency and query latency. "

"The commercial sector saw dozens of spatial analytics applications moved into production in 2022."

"Kinetica integrates machine learning models and algorithms with your data for real-time predictive analytics at scale."

"Reductions in the cost of technology will see more connected devices"

"Emerging Free Forever SaaS models will further make these offerings cost effective and facilitate robust developer communities"

"In 2023, we’ll see the data from sensors used to instrument operations truly harnessed for business value with the design pattern in observability showing the way"

"Vectorized databases are a type of distributed analytic database that uses vectorized query execution to boost performance."

"The Kinetica database executed 98 of 99 queries in our six sequential (SQL 1 through 99) testing runs and demonstrated consistent performance values with very low deviation."

"The fastest-growing kind of data this decade is real-time geospatial data. Specifically, we are talking about any data with an x and y coordinate that changes over time."

"11:20 The federal IT dashboard is getting a makeover. One reason is the availability of more data about federal IT and getting that data faster than ever."

"We took out 700 nodes of Spark and Redis, They were spending tons and tons of money on hardware and hundreds of thousands, millions of lines of Spark-Flink type code. We were able to reduce that to several thousand lines of SQL."

"Vectorized CPUs have been gestating for decades. Now they are emerging as the innovator’s choice as they use parallel CPU instructions when working on a single user’s workload."

"Kinetica's fully-vectorized database on Microsoft Azure Marketplace significantly outperforms traditional cloud databases for big data analytics"

"Kinetica leverages the Intel® Advanced Vector Extensions 512 (Intel® AVX-512) to vastly accelerate big data analytics and achieve greater performance on fewer nodes"

"When (Kinetica) is hosted on our rugged size, weight and power (SWaP) optimized PacStar 453 module, the combination provides a deployable solution for high performance cloud-based data analytics in the field."

"Vectorization, or data-level parallelism, accelerates analytics exponentially by performing the same operation on different sets of data at once, for maximum performance and efficiency"

"Wherever the data lives is where the rest of the solution stack will move toward because data is expensive and the need to be able to have fast access and do mutations of that data is what drives all computing"

"Vectorized databases offer orders of magnitude performance improvements on common big data analytic workloads like aggregations, predicate joins, equi­joins, derived columns, window func­tions, graph solvers, and certain GIS func­tions"

"Kinetica and Disaster Tech deployed a dynamic AI-powered analytical platform to assist the U.S. crisis responders to track coronavirus-related data on the fly"

"Kinetica is tapping Oracle Cloud HPC capacity to analyze huge datasets"

"Using an oil-detecting algorithm developed by Danish Technical University and cloud-based image-sensing software developed by streaming data analytics company Kinetica, the Mavic is able to detect even small amounts of oil or gasoline waste on the water’s surface"

"We are enabling these users to hook into these streaming feeds directly, stream them directly to a target table, and the second they hit that table form this type of analysis, a seamless end-to-end machine-learning work flow,"

"Data analytics and AI are taking center stage in efforts to combat the fallout of climate change and environmental disasters across the globe."

"Elizabeth McGlauflin of Kinetica explains how Artificial Intelligence can clean up trash in the Bay"

"Our streaming data warehouse was purpose-built for complex advanced analytics, whether that's real-time financial portfolio risk analysis, route optimization and network planning, or monitoring global networks of sensor data to protect the country"

"Kinetica ingests, analyzes and visualizes massive data sets … in order to model possible outcomes and assess risk,"

"Kinetica provides a full in-database lifecycle solution for machine learning accelerated by GPUs, and can calculate features from streaming data."

"The Kinetica system that the Air Force is installing will have petabytes of data, with the setup costing on the order of one-tenth that of a Spark or Hadoop stack with better functionality"

"This effort is a technology leap forward for Homeland Defense command and control systems"

"Prior to engaging with Kinetica, such data-intensive projects involved so much time for loading the data that they couldn’t be analyzed quickly enough to deliver real-time benefits."

"Kinetica is excited have been selected for Inc.’s 2020 Best Workplaces awards program."

"I’m working on a product that big companies use to calculate important business metrics faster and easier to drive their own initiatives."

"To speed up the analysis, SFEI partnered with Kinetica, a data analytics startup that participates in the Oracle for Startups program"

"The core differentiators of the platform are the breadth of active analytics, simplicity and agility, and performance at scale."

"The company has tuned its positioning with real use cases in various industries being "the active analytics platform for next-generation data-driven applications"

"Information Age explores Kinetica's active analytics use cases, which is helping accelerate data innovation across industries"

"Combining continuous analysis of streaming and historical data, location analysis, and predictive analytics using AI and machine learning, a business can analyze and react to data simultaneously, in real time."

"Where we really differentiate is when you need to be consuming data continuously and doing complex queries simultaneously. The [SAP] HANAs of the world and the Teradatas of the world are great data warehouse products. Where they really start to struggle is if you start to continually ingest data and do those complex queries at the same time. "

"Kinetica is an active analytics platform to help companies, governments, and societies manage the make-or-break shift from using data as a passive asset into using data as an active asset.This enables organizations to build streaming, real-time analytical applications that react instantly to changing conditions."

"The Kinetica Active Analytics Platform lets you combine and analyze billions of live and historical data points continuously and automatically to shape your decisions instantly. "

"The role of the CDO in the Fourth Industrial Revolution is to help companies, cities, and societies manage the make-or-break shift from using data as a passive asset to glean insights into using data as an active asset that can help them respond immediately to the needs of customers and citizens."

"Ovo leverages the Kinetica Active Analytics Platform to retrieve information incredibly fast, producing 360-degree customer profiles and segmentation to generate targeted offers."

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

"GPU database is not only hugely scalable, but integrates graph analysis, location intelligence, and machine learning with standard SQL"

"The Kinetica engine combines artificial intelligence and machine learning, data visualization and location-based analytics, and the accelerated computing power of a GPU database across healthcare, energy, telecommunications, retail, and financial services."

"Paul Appleby, CEO of Kinetica, said some of the top IoT trends are grids or networks as ecosystems, not monostacks, as well as smart wearables and using smart home devices to monitor energy usage and improve the environment."

"TDGlobal has partnered with Kinetica to bring advanced data processing and analytics technologies to the market. This is the first time these solutions are available in South Africa."

"An interview with Irina Farooq, Chief Product Officer at Kinetica"

"In this article, Daniel Raskin, CMO of Kinetica, the insight engine for the Extreme Data Economy, discusses his predictions for how the world of marketing in 2019 will be shifting towards being data-driven, due to new advances in technologies such as real-time customer analytics, location-based intelligence and artificial intelligence (AI)."

"Kinetica moves up one spot to #6 on the top 50 list."

"Here is what executives at Kinetica see coming in the enterprise data space for 2019."

"Demand for smart analytical applications will redefine enterprise data practices."

"Data engineers will find themselves in high demand – they specialize in translating the work of data scientists into hardened, data-driven software solutions for the business. "

" In 2019, the world of AI and analytics will need to converge in order to drive more meaningful business decisions."

"In 2019, AI will be an essential part of the marketing strategy. "

"Enterprises which integrate advanced analytics and machine learning and the cloud into their data analytics and insights programs are reaping the most from their data. "

""2019 is the year of the data engineer. Data engineers will find themselves in high demand—they specialize in translating the work of data scientists into hardened, data-driven software solutions for the business.""

"The rise of the data engineer brings AI to the forefront of the enterprise."

"As data sets have grown, rendering large amounts of data with traditional architectures has become harder, said Nima Negahban, CTO and co-founder at Kinetica. GPUs used with direct memory access can help crunch large volumes of data faster and more efficiently. This makes it easier to build high-definition visualizations on the server side that simply get served by the application via a web application."

""Location intelligence is more than visualizing information on a map," said Nima Negahban, CTO and co-founder of Kinetica, a big data analytics provider. "It allows businesses to drill down and analyze location and time data together to better understand the entity that is most valuable to them.""

"Data Analytics made in USA"

"Big data is de driver achter veel innovaties in de IT-industrie. Met de juiste hulpmiddelen kan uit big data veel informatie gehaald worden. "

"OVO wins Asia/Pacific Digital Trailblazer of the Year and Digital Disruptor of the Year "

"Indonesian operator Telkomsel has selected Kinetica to act as a converged engine for accelerated analytics, location-based visualization and artificial intelligence."

"Kinetica, an extreme data database doped with GPUs"

"Telkomsel, a leading telecom operator in Indonesia, has selected Kinetica to improve data-driven customer experiences."

"Das Unternehmen entwickelt eine Plattform, die Datenbanken durch den Einsatz von GPUs in Echtzeit durchsuchen, auswerten und visualisieren könne. Sie sei besonders für Kunden mit sehr grossem Datenaufkommen und komplexen Anwendungsszenarien geeignet."

"Kinetica moves up to #7 on the Impact 50 List!"

"Given the demand for rapid graphical display of data analysis, the GPU-based technologies ought to have an audience beyond video gamers and animation lovers"

"Nima Negahban, CTO and Co-founder, Kinetica, talks to ReadITQuik about Big Data, Extreme Data and how to best navigate this time when businesses are faced with an explosion of data from all sources."

""We’re excited to partner with NVIDIA in this journey to democratize AI — with NVIDIA driving model development and training and Kinetica driving operationalization and deployment of those models, enabling enterprises to gain maximum insight from their data.”"

"Dan Woods sits down with Michael Mahoney, VP of Worldwide Solutions Engineering at Kinetica, to discuss the steps companies need to take to become data-powered organizations."

"As time goes on, Kinetica’s Negahban agrees in-memory technology will continue to expand and evolve and move toward what some call the data gravity theory. "

"Tech Blog Writer Neil Hughes spoke with Kinetica CEO Paul Appleby in the latest episode of his podcast"

"We live in a new era where everything that CMOs do is data-driven, says Daniel Raskin, CMO at San Francisco-based startup Kinetica. And the businesses that can most effectively leverage the use of data will come out ahead by offering a better customer experience."

"Now that we’ve barreled past this era and into the Extreme Data Economy, businesses—and even whole economies—are becoming powered by data, so much so that the data generated from conducting business can become more valuable than the actual business itself. "

"Where we go next will be interesting. Kinetica already invites data scientists to bring their ML and Deep Learning (DL) model to its platform for productionizing and operationalizing. "

"Data is the glue across all channels, and companies will need to embrace business-differentiating data innovations, from artificial intelligence to using super-fast GPUs, that meet customers wherever they are."

"The database world is no longer "flat" with only SQL databases, batch processing ETLs, and solutions that only the top skilled database engineers and data scientists can leverage."

"There is more data coming back to and being generated by organizations than ever before and it will only get more complex. This means that organizations need to think about how to simplify their data architectures to grow and thrive in the extreme data economy"

"Kinetica, an insight engine for the Extreme Data Economy, is taking steps to bring advanced analytics, artificial intelligence and its GPU engine to the global automotive industry."

"With location analytics playing a key role in connected and autonomous car use cases, Kinetica also announced a new Mapbox integration which it will release to the open source community."

"Kinetica is empowering automakers, suppliers, and associated start-ups to speed up how vehicle data insight is engendered by bringing together the accelerated analytics of a GPU database, real-time location intelligence, and the competency of artificial intelligence. "

"OVO’s OVO Analytics named as Digital Disruptor of the Year. As part of Lippo Group, OVO provides highly personalized offers and services through a big data analytics platform that integrates information from organizations under the Lippo Group. T"

"The following are Stevie Award winners in The 2018 International Business Awards."

"A single engine leveraging GPUs can bring AI to traditional analytics cost-effectively, achieving a healthy return on investment."

"With Kinetica, PubMatic can empower our customers with real-time reporting and a sophisticated ad pacing engine."

" Automotive Grade Linux (AGL), a collaborative cross-industry effort developing an open platform for the connected car, is announcing that six new members have joined the project including Kinetica."

"What skills do developers need to be proficient on AI projects?"

"What businesses may not realize is that location and time data can play a foundational role in digital transformations."

"With this increase in data sources and complexity of analysis, the key question for operators is: how can you leverage this extreme data to retain customers, improve and expand your business operations?"

"An insight engine, with a GPU database at its core, combines Advanced Analytics, visual discovery, location intelligence, and Machine Learning within a single engine. All these capabilities will be needed for increasingly complex analysis and conducting IVA at scale."

"Data has essentially become the new currency for telecom operators."

"Kinetica comes in at #8 on latest insideBIGDATA IMPACT 50 list for Q3 2018 (in order of most impactful)"

"Daniel Raskin, CMO of Kinetica–a company that develops database management systems, discussed improving the human-machine relationship in order to gain better insights from data."

"Data analytics is a hot field, and ActualTech Media CEO Scott D. Lowe interviews a company on the bleeding edge — Kinetica, a data analytics company with an interesting twist."

" In the age of extreme data, businesses need to move beyond being informed or validated by data to being powered by data. "

"The advent of graphics processing units (GPUs) and their processing power, memory and storage advancements enables certain endpoint devices to aggregate analytics themselves."

"IoT requires an insight engine powered by GPUs that analyze data simultaneously in real time."

"Here are four ways the logistics industry is able to address the challenges presented by the growing unpredictability of data and the increasing complexity of analysis in the Extreme Data Economy"

"A GPU-accelerated database is an ideal solution for complex risk calculations, as it removes the bottlenecks of data processing that arise using only CPUs (central processing units). "

"San Francisco-based Kinetica, an instant insight engine provider for the extreme data economy, has named Michael Mahoney as worldwide vice president of solution engineering. "

"A new generation of GPU-powered databases has emerged, driven by digitalization and data analytics."

"Kinetica named a top 100 company in the data space"

"Dell EMC OEM Solutions and Kinetica have signed an OEM agreement that will allow Kinetica’s bundled data analytics solution to be available on Dell PowerEdge servers with NVIDIA GPUs."

"Joint solution with Dell EMC OEM Solutions enables enterprises to process massive data sets and create actionable insights by combining acceleration hardware with an NVIDIA GPU-accelerated database, machine learning and visualization engine."

"Data insights company Kinetica expanded on its partnership with Dell EMC this week. The two have collaborated to offer a bundled solution to help clients quickly gather actionable insights from raw data."

"Adobe interviewed several AI experts in their Glass Tank at the O’Reilly AI Conference including Kinetica CMO, Daniel Raskin."

"Kinetica named SD Times 100 'Best in Show' for Big Data and Analytics"

"“GPU technology means faster chips, and that enables faster analytics that would normally take exponentially longer to process,” Gene Lee, Chief Analytics Officer at Caesars says. “For real-time analysis, Kinetica is our Manhattan real estate.”"

"What’s the most powerful tool government has to improve the lives of its citizens? Data, hands down."

"Advances in connectivity, data management, analytics, and machine learning now give us the tools to deliver on the promise of the smart grid."

"Next-generation solutions, such as GPU-accelerated databases like Kinetica, are reshaping the pharmaceutical and healthcare industries. "

"The foundation of the GSK platform is based on Cloudera, Tamr, Zoomdata, Trifacta, Kinetica."

"Aims to help clients to understand the benefits of using a GPU."

"So where do you begin to address the data and analytics challenges presented by a centuries old company and leapfrog ahead to a place where efficiency can accelerate drug development?"

"The most lucrative use cases for the IoT require acting in real time on continuously generated streaming data from sources like industrial equipment sensors, autonomous or connected vehicles, or physical infrastructure for smart cities."

"How will auto companies use data to meet the demands of the future? "

"Asia Pacific enterprises need to look beyond just collecting data."

"As companies embrace business differentiating innovations, such as GPU databases, they can simultaneously meet the key requirements of GDPR."

"Technologies built for the past are not going to keep up with solving these emerging extreme data problems."

"Unlike societies, economies, and businesses that existed in the prior Industrial Revolutions, however, we need to be proactive in how we mitigate and minimize the impact of these transformational changes on those people who would be disadvantaged by them."

"As we shift into the Extreme Data Economy, the energy sector is facing new challenges"

"As an enterprise product executive with a demonstrated history of bringing innovative products to market across a variety of sectors, Irina comes to Kinetica from Riverbed Technology."

"IMPACT 50 LIST (in order of the most impactful)"

"In essence, the value of IoT is in building more intimate digital relationships by correlating data across users, devices, and things, and translating it into instant insight."

"Kinetica CTO Nima Negahban made datanami's People to Watch in 2018 list!"

" How can your organization optimize its information flow? Check out our CMO Daniel Raskin's segment starting at 12:30 in. "

"As entire industries announce digital transformation initiatives leveraging big data, many companies are working behind the scenes to enable these success stories"

"Beyond the satellite networks, the telecommunications industry is taking fire from all angles."

"Artificial intelligence (AI) may soon be ubiquitous in next-gen tech for real-time, replacing “human intel” for mundane tasks — but it needs monitoring."

"Kinetica’s CTO and Co–founder Nima Negahban offers some of his top technology predictions for 2018. "

"Artificial intelligence (AI) may soon be ubiquitous in next-gen tech for real-time, replacing “human intel” for mundane tasks — but it needs monitoring."

"There is more to a successful application of machine learning than data science"

"Despite rapid innovations in accelerated parallel computing and machine learning, many banks have yet to make the leap from the big data era into the Extreme Data Economy"

"We have moved beyond the big data era into the Extreme Data Economy. In this new world, businesses need to translate massive volumes of complex data at unparalleled speed into omnichannel insight, with streaming data analysis, visual foresight and streamlined machine learning. "

"I am passionate about aligning technology to solving the business problems that matter. To me, this is about turning real-time analytics from a science experiment into technology businesses can immediately put to use and understand. "

"Kinetica, provider of the instant insight engine for the Extreme Data Economy, today announced its formal launch into the Australian market. "

"The data-powered business operates at hyper scale, with hyper complexity and at hyper speed."

"As data from the Internet of Things (IoT) increased, businesses started dealing with the challenge of analyzing streaming data in real time. At present, GPUs offer the most cost-effective solution for large amounts of data being streamed in real time"

"AI now pervades the world of big business, and is kickstarting new business models, and whole new ways of getting jobs done. How can your organization benefit? "

"With a GPU-accelerated database, you can use both simple and complex machine learning and deep learning algorithms on one platform. "

"Negahban predicts 2018 will see an increase in investments in AI life cycle management, and technologies that house the data and supervise the process will mature. "

"Enterprises have spent the past few years educating themselves on various AI frameworks and tools"

"As AI goes mainstream, it will move beyond small-scale experiments to being automated and operationalized. "

"ProgrammableWeb, the site that tracks all things API, has published its list of the most compelling APIs released in 2017."

"It is the beginning of the end of traditional data warehouses"

"Just as organizations struggled to move big data projects out of the experimentation phase and into production, they’re finding it difficult to get AI running."

"To integrate data-driven AI into operationalized pipelines, organizations will need a single platform capable of streamlining, automating and managing the entire Machine Learning and Deep Learning lifecycles."

"The Kinetica API allows developers to programmatically access their databases to create tables, add rows, read rows, and delete rows, and includes functions for filtering and visualization."

"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."

"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 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."

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

"Yesterday’s technologies won’t solve today’s problems. We seem to be learning this over and over again. While that is the bad news, the good news is that there are also brilliant minds that create new technologies to solve those problems."

"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. "

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

"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."

"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."

"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."

"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. "

"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"

"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."

"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."

"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."

"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."

"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"

"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."

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

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

"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"

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

"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."

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

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

"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."

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

"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."

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

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

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

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

" 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"

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

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

"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"

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

"When clouds get juiced with big GPUs, it will rain insights"

"Here's a database that delivers real time for real."

"Given the dramatic improvements in performance offered by GPUs, other cloud service providers can also be expected to begin deploying GPUs in 2017."

"A major breakthrough came with the advent of the Graphical Processing Unit (GPU) and its use in data analytics."

"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"

"The one common thread they all seek is more accelerated computational power (at reasonable economics) to do even more advanced things."

"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."

"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."

"GPUs are purpose-built for repetitive tasks at parallel with thousands of cores for aggregation, mathematics, and those type of things."

"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."

"What isn’t generally known about Kinetica is how radically simplified its schematics have been engineered to be."

"he end result is a blazingly fast database that can deliver intelligence in near real time."

"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."

" Kinetica can process over a billion simple operations – such as calculating minimum and maximum values in a data store – in less than a second"

"Kinetica has introduced two new software and services offerings designed to help customers ingest and use streaming datasets through use of GPUs"

"I just think it’s just exciting to watch people’s eyes when they say, “Oh, can you really explore that fast?”"

"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."

""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.""

"Hear Mark Brooks on the "NVIDIA GPU-accelerated databases, visualization, and analytics" panel"

"New VC funding led by Ray Lane"

"The round was led by existing backer Ray Lane, Managing Partner of GreatPoint Ventures and former Oracle President and Managing Partner of KPCB"

"You can’t even see the lag with the Kinetica database. It is well under sub-second response time."

"Kinetica uniquely addresses the new paradigm of data by accelerating the data center infrastructure"

"Nvidia's NVLink interface in IBM's new server gives a five-fold speed boost to communications between CPUs and GPUs"

"Kinetica supports 15,000 concurrent users and analyzes data from more than 213,000 scanning devices in order to streamline business processes."

"Kinetica is helping to fill a niche in the real-time analytics that open source big data tech can’t fill at the moment. "

"GPUs are fantastic for workloads dependent on heavily parallelized matrix math"

"GPU optimized databases are rapidly moving from science project to business reality"

"Built-in support for geospatial objects makes it a natural for tracking physical assets"