Finovate - Three months into its rebrand, GPU-accelerated analytics innovator OmniSci (formerly MapD) is reporting “wide-ranging growth” including significant increases in revenue run rate and the size of its customer base.
In the News
TechTarget - While JSON may be the go-to data format for developers, Parquet, ORC or other options may be better for analytics applications. Learn more about big data file formats.
TechTarget - Enterprises are starting to embrace a variety of real-time data streams as part of their data management infrastructures.
BizJournals - Ray Falcione Jr., a technology industry veteran with over 25 years of experience in the federal government space, will focus on expanding the OmniSci presence within the U.S. government market
VentureBeat - Conventional financial data, in many respects, is a two-dimensional view of the investment world. It provides useful facts, but without perspective.
InfoWorld - The parallel processing power of the GPU is being brought to analytics by some innovative startups, promising new levels of performance
VentureBeat - Vehicle telematics, the method of monitoring a moving asset like a car, truck, heavy equipment, or ship, with GPS and onboard diagnostics, produces an extraordinarily large and fast-moving stream of data that did not exist even a few years ago
Bowery Capital - This week, the Bowery Capital team hosted Grant Halloran, Chief Marketing Officer and Vice President at OmniSci (formerly Map D), to discuss “Elements of Successful Product Marketing.”
SiliconANGLE - The graphics processing unit-accelerated database market has established itself as a substantial startup niche
PR Newswire - Scan, as a leading AI solution provider in the UK and Europe, provides a comprehensive ecosystem of NVIDIA hardware, flash storage solutions and complementary data engineering and visualisation solutions.
PR Newswire - OmniSci (Formerly MapD) to Showcase How to Extract Fresh Insights Using Government and Industry Datasets at NVIDIA GPU Technology Conference
insideBIGDATA - In this column, we present a variety of short time-critical news items grouped by category
TOP500 - NVIDIA has announced a set of open-source libraries intended to bring GPU acceleration to a wide swathe of data analytics applications. The new software suite has attracted support from IBM, HPE, Oracle and a number of other key providers.
RTInsights - Fresh on the heels of its rebranding from MapD to OmniSci in early October, the analytics company recently announced $55 million of Series C funding.
datanami - GPU leader Nvidia, generally associated with deep learning, autonomous vehicles and other higher-end AI-related workloads
NVIDIA - HPE, IBM, Oracle, Open-Source Community, Startups Integrate RAPIDS, Giving Giant Performance Boost to End-to-End Predictive Data Analytics
Fortune - MPW RECAP
The PE Hub Network - OmniSci, a creator of an extreme analytics platform, has closed $55 million in Series C funding. Tiger Global Management led the round with participation from other investors that included In-Q-Tel, New Enterprise Associates, Vanedge Capital, NVIDIA and Verizon Ventures.
Packt - OmniSci, previously named as MapD, is a data-visualization startup that provides real-time analytics solutions
PR Newswire - OmniSci (formerly MapD), the creator of an extreme analytics platform, today announced the completion of a $55 million Series C financing, led by new investor Tiger Global Management.
ReadITQuik - OmniSci (formerly MapD), the creator of an extreme analytics platform, today announced the completion of a $55 million Series C financing, led by new investor Tiger Global Management.
FinSMEs - OmniSci (formerly MapD), a San Francisco, CA-based creator of an extreme analytics platform, completed a $55m Series C financing.
BAM NewsWire - OmniSci, a data-visualization startup that’s just changed its name from MapD, has a chart of its own: hockey stick growth
Nvidia - The startup has experienced explosive growth and more than tripled customers in the past year.
PRNewswire - Company Expands Vision to Transform Big Data Analytics and Data Science by Eliminating the Technical Barriers to Achieving a Zero-Latency Analytics Experience
datanami - Organizations are no longer content waiting until tomorrow to know what happened two minutes ago, nor can they afford to wait.
ReadITQuik - Artificial intelligence is grabbing many of the GPU headlines. But a host of other applications, from business intelligence to data-intensive analytics, also underscore the growing need for GPUs.
Dcode - Geospatial analytics empower people and organizations to make better decisions.
PRNewswire - Drive Immediate Insight and Analytics from Data for Time-Sensitive Applications
The Next Platform - It doesn’t take a machine learning algorithm to predict that server makers are trying to cash in on the machine learning revolution at the major nexus points on the global Internet
Forbes - Every day there are reports of the latest advances in deep learning (DL) from researchers, data scientists, and developers around the world.
Business Wire - New Awards Program Recognizes Impactful and Innovative Data Science Startups, Products and Initiatives
Wikibon - Artificial intelligence (AI) workloads are consuming ever greater shares of IT infrastructure resources.
GIS Professional - In the following republished piece, Linda (Hecht) Stevens of global marketing and technology firm 51by1, shares her insights from the tech-capital of the world, San Francisco.
ZDNet - How can GPUs and FPGAs help with data-intensive tasks such as operations, analytics, and machine learning, and what are the options?
GIS Lounge - Dipti Kothari, an intern with MapD, has developed an open source project that uses LiDAR to create a 3D visualization of tree coverage around buildings and the impact of rising sea levels on buildings on Jekyll Island, GA.
inside HPC - Today One Stop Systems introduced the Magma ExpressBox 3T-V3-eGPU, a new external graphics card solution with Thunderbolt 3.
GIM International - Although the geospatial industry is growing quite quickly and is expected to reach US $439.2 billion by 2020
ComputerWeekly - The Computer Weekly Open Source Insider blog ran a story this June 2018 detailing work carried out by large-scale interactive geospatial analytics company MapD and its work to provide a higher level of data crunching through its software, which is tightly integrated with a GPU-based rendering engine.
Dcode - We just closed out our 2018 AI & Big Data cohort with some incredible businesses who are making waves with government work and contracts.
IMB - There is the old saying that “it takes a village,” and that couldn’t be more true when it comes to building the best solutions for companies on the journey to AI
Spatial Source - Big data analytics platform MapD now leverages the muscle of Google Cloud Platform with its availability within the Launcher container.
sdx central - Here are the week’s strays and stragglers we roped for you:
Business Insider - MapD Technologies, the Extreme Analytics™ Platform provider, today announced its availability on Google Cloud Platform Marketplace (GCP Marketplace), the deployment service for the Google Cloud Platform.
datanami - GPU-powered database pioneer MapD Technologies today announced that customers can now get its software through the Google Cloud Launcher, the online marketplace for Google Cloud Platform
Forbes - And the relatively high demands that venture capitalists place on startup CEOs causes them to run their companies in ways that spur rapid growth -- at the expense of growth at those relatively cushy public companies.
Forbes - Why do big technology companies like IBM and Oracle have trouble sustaining rapid growth that drives up the value of their shares? In a nutshell, they've lost that startup feeling.
Finovate - MapD, a next generation database and visualization layer capable of providing immersive, instantaneous analytics on large and complex datasets, has released the latest version of its technology.
insideBigData - The team here at insideBIGDATA is deeply entrenched in the big data ecosystem of companies from around the globe.
Forbes - Data is a thorny subject. For a start, we’re not sure how we are supposed to refer to it, that is - data is the plural of datum.
Trajectory Magazine - NGA Selects Companies for Janus Elevation Contract; USGIF Members Make Washington Post’s Top Workplaces List; DOT Launches “Solving for Safety” Data Visualization Challenge; More
SearchBusinessAnalytics - Simulmedia is using GPU technology to power reporting tools, while eyeing future deep learning applications, helping to justify the cost of the hardware while building experience.
gis-professional.com - MapD Technologies, the analytics platform provider, has announced the launch of MapD 4.0, a major leap forward in large-scale, interactive geospatial analytics
Computer Weekly - The company’s spin doctors have unabashedly labelled its product not analytics, but Extreme Analytics™ — with a fancy trademark and everything. So can MapD substantiate and technically validate this grandeur, or is this just another case of marketingspeak?
Open Source Insider - The company’s spin doctors have unabashedly labelled its product not analytics, but Extreme Analytics™
Datanami - MapD Technologies, the Extreme Analytics platform provider, has announced the launch of MapD 4.0, a major leap forward in large-scale, interactive geospatial analytics.
Geospatial World - MapD Technologies, the Extreme Analytics™ platform provider, today announced the launch of MapD 4.0, a major leap forward in large-scale, interactive geospatial analytics.
PR Newswire - New GeoSpatial Capabilities Allow Real Time Visual Exploration of Millions of Shapes and Billions of Points
ciodive.com - New GeoSpatial Capabilities Allow Real Time Visual Exploration of Millions of Shapes and Billions of Points
Directions Magazine - MapD Technologies, the Extreme Analytics™ platform provider, today announced the launch of MapD 4.0, a major leap forward in large-scale, interactive geospatial analytics.
Fedscoop - As an emerging technology startup is deciding whether to go after government business, a “stamp of approval” from the intelligence community nonprofit strategic investor In-Q-Tel can go a long way in helping the young company take the leap into the federal marketplace.
RTInsights - MapD’s analytics platform, used to find data insights beyond the limits of typical analytics tools, brings in more location-driven aspects in 4.0 version.
Forbes - The oil & gas industry still faces serious challenges, including the costs of maintaining its aging infrastructure
Information Management - If you follow the drum beat of innovation in analytics, you probably already know that graphics processing units are great for high performance computing and AI, especially for machine learning and deep learning.
GoGeomatics - Recently, we’re also watching MapD for blazing fast graphics accelerated visualizations.
DatacenterDynamics - Today’s companies are using new technologies to store and manage their data
cisco.com - The harnessing of data through analytics is key to staying competitive and relevant in the age of connected computing and the data economy.
Government Matters - Host Francis Rose explores some of the key issues on big data. This fifth installment of our Tech Leadership Series focuses on how businesses use that data to make decisions or blend it into products and services sold to consumers.
Network World - How did a chip meant for gaming become so vital in enterprise computing? Some people thought outside the box.
SearchDataManagement - GPU databases offer a new way to process data. 451 Research analyst James Curtis discusses where they fit in big data applications, particularly for parallel processing.
EM360 - Big data is everywhere, hiding beneath the surface of every interaction, waiting to be collected and repurposed as a profit-making decision.
Network World - New storage, servers and hyperconvergence products debut at Dell Technologies World
The Official NVIDIA Blog - Our partner, MapD, made its own news during GTC 2018, when it launched MapD Cloud, the world’s first software-as-a service offering GPU-accelerated analytics.
The Next Platform - There is a direct correlation between the length of time that Nvidia co-founder and chief executive officer Jensen Huang speaks during the opening keynote of each GPU Technology Conference and the total addressable market of accelerated computing based on GPUs.
ZDNet - Nvidia's GTC 2018 event spotlights a playbook that goes far beyond chips and servers. Get set for next era of training, inferencing, and accelerated analytics.
Nvidia - For businesses trying to stay competitive, it’s not easy to learn from increasingly vast volumes of data, cope with the complexity of analysis or keep up with siloed analytics solutions while on legacy infrastructure.
Sensors and Systems - Unlike mainstream analytics tools, the MapD platform is designed and engineered specifically for extreme scale and speed, making it perfectly suited to use cases involving large volumes, and high velocity, of structured data
The Next Platform - In the long run, provided there are enough API pipes into the code, software as a service might be the most popular way to consume applications and systems software for all but the largest organizations that are running at such a scale that they can command almost as good prices for components as the public cloud intermediaries
Das Silicon Valley bringt erfolgreiche und weniger erfolgreiche Start-ups hervor. Fünf Daten-Management-Unternehmen, die den erfolgreichen Weg gehen möchten.
insideHPC - With MapD Cloud, anyone can spin up a 2-week trial of our platform in less than 60 seconds, and then continue as a customer with a mix of self-service individual and enterprise plans.
FinTech Futures - San Francisco-based analytics and visualisation company MapD has its head in the cloud with the launch of its new offering
Datanami - MapD Technologies released a new version of its mainstay database and visualization platform about a year ago with a heavy emphasis on GPU acceleration.
Finovate - Analytics and visualization company MapD has its head in the cloud this week. That’s because the San Francisco-based company launched a cloud-based offering, MapD Cloud.
MapD Technologies, the extreme analytics™ platform provider, today announced the launch of MapD Cloud, the first ever software-as-a service (SaaS) offering of GPU-accelerated analytics.
insideBIGDATA - The team here at insideBIGDATA is deeply entrenched in the big data ecosystem of companies from around the globe.
VentureBeat - Nvidia loves the graphics processing unit (GPU) and all of the new kinds of computing it has enabled, from self-driving cars to medical imaging devices. And venture capitalists are showing their love by investing in GPU computing startups.
eWEEK - IBM is seeing numerous projects under way using both Power8 and Power9, which was launched only last December. It published a list at OpenPower Summit detailing more than 100 solutions developed in partnerships with companies such as Google, Xilinx, Broadcom, Hitachi and others.
ComputerWeekly.com - A slew of California-based startup and early-stage data analytics companies are promising CIOs better ways to get value from their investments in databases and analytics
ekonomit.se - Övergången till så kallade minnesdatabaser har tagit ordentlig fart under de senaste åren där allt fler företag insett fördelarna med att göra all analys direkt i minnet i stället för att ta omvägen via diskar.
Oil Review Africa - We’re in close contact with a great many of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning
Lemonde Informatique - Avec sa base de données SQL in-memory exploitant des GPU, MapD propose un outil capable de mettre à jour en quelques millisecondes des milliards de données pour affiner la data visualisation.
InfoWorld - InfoWorld editors and reviewers pick the year’s best software development, cloud computing, data analytics, and machine learning tools
Datanami - GPU-powered analytics leader MapD Technologies today announced that it is partnering with IBM Power Systems to deliver unrivaled analytical performance.
insideBIGDATA - Last week was pretty busy, as the Strata Data Conference 2017 was happening in NYC and we were on hand to take in all the action.
InfoWorld - InfoWorld picks the best open source software for large-scale search, SQL, NoSQL, and streaming analytics
EnterpriseTech - Huawei Technologies, the Chinese telecommunications giant, is partnering with Microsoft to bring server, database and other enterprise applications to the Huawei cloud.
insideBIGDATA - MapD Technologies announced the expansion of its leadership team to seize the market potential of GPU-powered analytics.
San Francisco Chronicle - Here are five Bay Area startups worth watching this week.
Crunchbase - What does taking investment dollars from In-Q-Tel mean for a company? And how much influence does the organization have in its portfolio companies?
Nvidia - MVisualization is a great tool for understanding large amounts of data, but transferring the data from an HPC system or from the cloud to a local workstation for analysis can be a painful experience.
Technuter - The partnership will enhance compatibility and interconnection between Huawei’s FusionServer hardware and the MapD analytics platform, enabling organizations to search and visualize multiple billions of rows of data sets in milliseconds.
EnterpriseTech - The partners announced an agreement this week intended to improve compatibility between Huawei's latest FusionServer and MapD database and visualization platforms.
TeleAnalysis - Partnership with MapD will enable Huawei customers to query and visualize hundreds of billions of records in milliseconds.
Datanami - MapD Technologies, the database and visualization specialist, said its is working with university researchers on leveraging graphics processors to advanced geospatial analytics
Datanami - High-flying analytics software vendor MapD Technologies is partnering with Canadian mobile data vendor Tutela Technologies on an analytics platform that provides real-time metrics on mobile network performance and device usage.
Inside Analysis - Draw a Venn diagram of Analytics, Big Data and Cloud, and what’s in the middle? Success!
Inside HPC - Analyzing big data with GPUs is nothing new. GPUs have been the “sweet spot for Big Data” for several years. What is relatively new is GPU cloud computing.
Nvidia - Recently, Continuum Analytics, H2O.ai, and MapD announced the formation of the GPU Open Analytics Initiative (GOAI).
IT Jungle - Take a hard look at how the IBM i platform is packaged and priced and how a modern integrated platform should be architected
Disruptor Daily - The world of technology is changing at super speed from biotech to artificial intelligence to computing and beyond.
Slideshare - This talk will address new advances in how data science is leveraging GPUs to solve complicated problems.
Nextgov - MapD created a dashboard that lets you dig into data from the American Community Survey, administered yearly by the Census Bureau.
RTInsights - An open-source GPU initiative could drastically speed analytics, including analyses using deep learning
VentureBeat - MapD recently closed a $25 million round led by NEA, and it has open-sourced its platform.
RTInsights - Continuum Analytics, H2O.ai and MapD Technologies create open common data frameworks for GPU in-memory analytics
Linux.com - Since starting work on MapD more than five years ago while taking a database course at MIT, I had always dreamed of making the project open source.
Dataversity - Continuum Analytics, H2O.ai, and MapD Technologies have announced the formation of the GPU Open Analytics Initiative (GOAI) to create common data frameworks enabling developers and statistical researchers to accelerate data science on GPUs.
InfoWorld - New consortium wants to eliminate a common source of slowdowns in the machine learning pipeline by keeping data processing on the GPU
SiliconANGLE - Data analytics suppliers Continuum Analytics Inc., H20.ai and MapD Technologies Inc. said today they’re joining forces to create standards for using graphics chips in analytics.
App Developer Magazine - MapD Technologies, a GPU-powered analytics company, has released their Core database to the open source community under the Apache 2 license, seeding a new generation of data applications.
insideBIGDATA - Continuum Analytics, H2O.ai, and MapD Technologies have announced the formation of the GPU Open Analytics Initiative (GOAI) to create common data frameworks enabling developers and statistical researchers to accelerate data science on GPUs.
The Next Platform - Moving data is the biggest problem in computing, and probably has been since there was data processing if we really want to be honest about it.
InfoWorld - Horizontal-scaling and high-availability features are still for-pay only, but MapD wants its number-crunching platform to be integral to data science
ADT Mag - MapD Technologies Inc., one of a group of select companies that offer GPU-accelerated databases, today announced the open sourcing of its MapD Core database.
SD Times - Data science and deep learning app leaders are coming together to form the GPU Open Analytics Initiative
Mark Litwintschik Tech Blog - I was blown away when I recently heard MapD was going to make the source code for their GPU-powered database freely available on GitHub
BusinessWire - Continuum Analytics, H2O.ai and MapD Technologies Create Open Common Data Frameworks for GPU In-Memory Analytics
Inside HPC - Today MapD Technologies released the MapD Core database to the open source community under the Apache 2 license, seeding a new generation of data applications.
HIT Infrastructure - Continuum Analytics, H2O.ai, and MapD Technologies the GPU Open Analytics Initiative (GOAI) to establish common data frameworks to support data analytics
EnterpriseTech - A group of data analytics vendors joined forces today at the GPU Technology Conference to create the GPU Open Analytics Initiative (GOAI) with the goal of fostering the development of a community of data science and deep learning workloads running on GPUs.
The Next Platform - The idea of offloading computational tasks from CPUs to GPU accelerators took off in academia a little more than a decade ago...
siliconANGLE - MapD Technologies Inc., a fast-rising analytics startup backed by the likes of New Enterprise Associates and Nvidia Corp., beefed up its product lineup today in a bid to open new growth opportunities.
Datanami - MapD Technologies, the leader in GPU-powered analytics, today released the MapD Core database to the open source community under the Apache 2 license, seeding a new generation of data applications.
EnterpriseTech - A group of data analytics vendors joined forces today at the GPU Technology Conference to create the GPU Open Analytics Initiative (GOAI) with the goal of fostering the development of a community of data science and deep learning workloads running on GPUs.
Datanami - MapD Technologies, the big data analytics platform startup developing a parallel SQL database that runs on GPUs, has more than doubled its venture-funding total with the close of its latest investment round led by New Enterprise Associates (NEA).
siliconANGLE - Artificial intelligence applications aren’t the only kind of enterprise workload that can take advantage of graphics processing units.
Fortune - MapD, a startup that uses powerful graphics chips for intensive data crunching jobs, has received $25 million in new funding.
The Next Platform - There is an arms race in the nascent market for GPU-accelerated databases, and the winner will be the one that can scale to the largest datasets while also providing the most compatibility with industry-standard SQL
InfoWorld - MapD 3.0 appeals to enterprises with native scale-out, high availability, and ODBC connectivity, but hybrid cloud deployments will have to wait
Datanami - Todd Mostak, CEO and Co-Founder, MapD
Matt Turck - The first few months of 2017 saw a flurry of announcements of big funding rounds for growth stage Big Data startups
WirelessWeek - While 2016 was the year of the GPU for a number of reasons, the truth of the matter is that outside of some core disciplines (deep learning, virtual reality, autonomous vehicles) the use of GPUs for general purpose computing applications is still in its early stages, despite its exceptional growth over the past 12 months.
IBM Bluemix Blog - The GPU was invented by NVIDIA back in 1999 as a way to quickly render computer graphics by offloading the computational burden from the CPU.
VentureBeat - MapD Technologies, a startup that provides businesses with a data analytics service backed by graphics processing units (GPUs), announced today that it has secured an additional $25 million
SearchDataCenter - New type of database-analytics platform queries and maps billions of data points in milliseconds.
MIT News - New type of database-analytics platform queries and maps billions of data points in milliseconds.
InformationWeek - When it comes to clickstream data, server log analysis or machine learning, there's a likely GPU-based system in IT's future
InfoWorld - Version 2 has faster queries and a new web-based visualization tool, with plans to spread to Microsoft Azure too
NetworkWorld from IDG - MapD Core database and Immerse visual analytics platform
Silicon Angle - Google Inc. early next year will start offering graphics processing unit chips as a computing service alongside the standard processors in its cloud computing platform, in an effort to make it easier for enterprises to use machine learning.
Google Cloud Platform Blog - CPU-based machines in the cloud are terrific for general purpose computing, but certain tasks such as rendering or large-scale simulations are much faster on specialized processors.
Datanami - The gnashing of teeth you may be hearing is the sound of political pollsters whose elegant models completely missed the surge of popular discontent in the hinterlands that propelled Donald J. Trump to the U.S. presidency.
Business Insider - As we head into Election Day, one way to figure out which candidate has a leg up is to "follow the money."
Datanami - The cottage industry of political polling is approaching a fever pitch at the end of a long, tortuous U.S. presidential campaign.
Defense Systems - When the CIA's venture capital arm invests in a technology startup, it tends to draw attention.
Datanami - In-Q-Tel, the venture arm of American spy agencies, announced yesterday that it has invested in MapD.
The Wall Street Journal - The venture-capital arm of the Central Intelligence Agency, In-Q-Tel, said on Tuesday that it has invested in MapD Technologies Inc., a database and visualization startup.
Datanami - No matter how sophisticated information technology gets – and who can deny that IT is evolving exceptionally fast these days – there’s nothing that can replicate the combination of two unique pieces of data: Time and place.
The Next Platform - It is not news that offloading work from CPUs to GPUs can grant radical speedups, but what can come as a surprise is that scaling of these workloads doesn’t change just because they run faster.
IBM Cloud computing news - When you look at the rapidly evolving infrastructure as a service (IaaS) market, you might get the impression that it’s a race to the bottom with commodity hardware, inexpensive storage options, ongoing price cuts and the like.
RTInsights - The GPU has been around since “Space Invaders” — but it’s now capable of visualizing billions of data points in real time.
The Next Platform - Todd Mostak, the creator of the MapD GPU-accelerated database and visualization system, made that database because he was a frustrated user of other database technologies, and as a user, he is adamant that accelerating databases and making visualization of queried data is about more than just being a speed freak.
datanami - The availability of Nvidia K80s on AWS will be a turning point, MapD founder Todd Mostak wrote in a blog post last week.
Mapbox Blog - MapD, a GPU-powered database that uses Mapbox for its visualization layer, made it possible to quickly and easily interact with the data
Business Wire - New GPU instance type offers the most processing power available in the cloud for artificial intelligence, high-performance computing and big data processing
InfoWorld - Tired of slow joins and poky graph analytics? These database solutions use GPU acceleration for faster answers
Business Insider - The common narrative when it comes to financial technology startups is that they pose an existential threat to established players.
NVIDIA Blog - The rise of modern business intelligence (BI) has seen the emergence of a number of component parts designed to support the different analytical functions necessary to deliver what enterprises require.
Medium - The path to startup success is never dull and rarely ever easy.
CB Insights - These are some of the companies you should be watching at FinovateFall based on CB Insights' predictive Mosaic scores.
Semiconductor Engineering - A San Francisco-based startup has come up with a novel solution for solving the big data analytics challenge by leveraging GPUs.
MarksBlogg - In this blog post I'm going to see how much of an upgrade the new Pascal-based cards offer MapD when querying 1.1 billion taxi trips made in New York City over the course of six years
insideBIGDATA - Speed is increasingly defining the user experience from B2C to B2B
MarksBlogg - For me personally, the future of BI reporting is GPU-based.
MarksBlogg - The ability of MapD and Bitfusion to combine GPUs to create clusters of on-demand supercomputers, will have a profound impact on the size of the potential problems that can now be tackled.
Nvidia - MapD’s database intelligently partitions, compresses and caches data across all GPUs, providing users with up to 100x faster database queries
CRN - MapD Technologies develops a big data analytics platform that the company says can query and visualize big data at a speed 100 times faster than other systems.
MarksBlogg - To top that off, I have yet to find another BI system capable of query speeds within an order of magnitude of what MapD has managed to deliver.
NextPlatform - Having made the improbable jump from the game console to the supercomputer, GPUs are now invading the datacenter.
TheNewStack - San Francisco start-up MapD has released a database system, ParallelDB, built to run on GPUs (graphics processing units), which can be used to explore multi-billion row datasets quickly in milliseconds, according to the company.
TechTarget - Mostak's team has fine-tuned the MapD platform by caching active data in GPU database memory, compiling queries on the fly using the Low-Level Virtual Machine (LLVM) framework and creating a system that can supportvectorised queries when possible.
Bloomberg - MapD’s technology -- a database and a visual analytics system -- helps customers sift through and compare data quickly. The company uses what’s called graphics processing units, or GPUs, which are often used in computer gaming, and are faster than the central processing units traditionally used to power database systems.
Verizon Ventures Blog - It’s an all-too-common problem in today’s business landscape – companies are flooded with big data, but don’t have the tools and resources available to efficiently turn that data into insights.
The Wall Street Journal - MapD uses [GPUs] to power SQL queries. The tool has a wide variety of applications for large sets of enterprise data. It has been used for social media analytics at companies such as Facebook, business intelligence at companies the likes of Verizon and recently has even been used by government agencies.
Nvidia Blog - The MapD database uses GPUs to process SQL queries in parallel across nearly 40,000 cores per server, yielding massive speedups over leading in-memory databases. When paired with the MapD Immerse analytics front-end, the system delivers instant visual insights into datasets with billions of records
Barron’s - The innovation in MapD’s case is to use many, many GPUs, which makes it possible to store many tables in memory, which means scaling massively parallel collections of GPU cores will rise and rise...
VentureBeat - It turns out that [MapD’s] technology can even outperform in-memory databases, but not only that; the tool can then visualize results. Or it can just send query results to existing business-intelligence tools. Or it can work as a regular database. But no matter what companies choose to do with the technology, it is distinctive.
The Next Platform - The performance speedup that MapD has seen is impressive, and is akin to some of the boost that other parallel workloads in modeling, simulation, and machine learning have seen
Silicon ANGLE - The need for faster access to business intelligence is reshaping analytics environments all the way down to the hardware level...MapD Technologies Inc. now hopes to drive a similar shift over in the server layer with a newly launched database that uses GPUs instead of Intel Corp.’s more popular x86 chips to perform data visualization.
Fortune - MapD, a startup that’s pressing graphics processors into service to speed up both number crunching and analytics of those numbers, now has $10 million in fresh funding to build up its engineering staff.
InfoWorld - SQL queries are compiled to native GPU code via the LLVM compiler framework, but can also be compiled and run on each node's CPUs if needed. The latter can operate as a fallback if the data set for a query doesn't fit in GPU memory.
Market Wire - Alston to Lead Go-to-Market Strategy for MapD's Big Data, Analytics and Visualization Platform
US News & World Report - Between 1989 and 2014, Trump donated a total of $1,219,950, according to data from the Center for Responsive Politics, obtained through the Sunlight Foundation. The video below, courtesy of MapD, a GPU-powered database and visualization platform for interactive data analytics, shows his ever-changing political allegiance.
Fortune - With GPUs getting more memory, Mostak realized that the Intel and AMD part of the database can now take a backseat to the graphics processors because the GPUs finally have the memory capabilities to store the data as it’s being processed.
eWeek - Startup MapD has been using Tesla K80 accelerators on IBM Cloud for data and analytics. The solution enables multiple users to query and visualize multi-billion row data sets with latencies measured in milliseconds, achieving orders-of-magnitude increases in speed over other solutions
Nvidia Blogs - Fast hardware is only half of the story, so at MapD we have invested heavily into optimizing our code such that a wide range of analytic workloads run optimally on GPUs. In particular, we have worked hard so that common SQL analytic operations, such as filtering (WHERE) and GROUP BY, run as fast as possible.
VentureBeat - MapD uses graphics processing units (GPUs) to crunch Big Data — the sort that usually only rooms full of servers are able to do, but “at a fraction of the price of what a big cluster [of servers] would cost, with much greater performance.”
Nvidia blogs - In addition to the $100,000 investment we awarded, MapD has won early backing from Google Ventures and Vanedge Capital in Vancouver… Now MapD’s Mostak is readying the launch of his company’s first product early next year — an appliance that will allow companies to turn the terabytes of data they’ve gathered into instant visual intelligence.
Data Informed - MapD uses graphics processing units (GPUs) to crunch Big Data — the sort that usually only rooms full of servers are able to do, but “at a fraction of the price of what a big cluster [of servers] would cost, with much greater performance.”