Showing 12 posts by,

Todd Mostak

Today, with great pride, MapD is announcing a partnership with the Harvard Center for Geographic Analysis (CGA). We will be working with CGA to build new geospatial functionality into the MapD Core database, to improve hydrological modeling and visualization and allow for more accurate flood prediction and water-supply estimation. By combining CGA’s geospatial expertise with our team’s knowledge of high-performance analytics, we hope to build MapD into an even better platform... read more

One of the things we are most excited about as a newly open source company is the potential to help kickstart a larger ecosystem of GPU computing. This is why we are particularly excited about our work with Continuum Analytics and to found the GPU Open Analytics Initiative (GOAI) and its first project, the GPU Data Frame (GDF), as our first step toward an open ecosystem of end-to-end GPU computing. A revolution is occurring across the GPU software stack, driven by the... read more

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. It is thus with great pleasure to announce that today our company is open sourcing the MapD Core database and associated visualization libraries, effective immediately. The code is available on Github under an Apache 2.0 license. It has everything you need to build a fully functional installation of the MapD Core database, enabl... read more

Today I’m proud to announce that MapD Technologies has secured $25M in funding in a Series B round lead by New Enterprise Associates (NEA) with participation from NVIDIA, Vanedge Capital, and Verizon Ventures. This new investment will allow MapD to scale up its engineering, sales, and marketing teams to accelerate product development and deepen customer adoption. It will help us move faster toward our vision of making GPU-powered analytics ubiquitous in the enterprise. There... read more

2016 was a pretty amazing year for MapD. Not only did we launch our company with the announcement of our A Round of funding in late March, but we were able to steadily build on that event throughout the year, culminating in the release of our 2.0 version of the product just nine months later. In the interim, we were fortunate to pick up some prestigious awards including Gartner Cool Vendor, Fast Company Innovation by Design, The Business Intelligence Group’s Startup of the... read more

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. Perhaps the most fundamental component of the BI movement is the traditional frontend or visualization application. Companies like Tableau, Qlik, Birst, Domo and Periscope provide these. There are dozens more — all with essentially equivalent capabilities: the ability to make s... read more

On Friday, Amazon announced the availability of large GPU instances on AWS (blog here) marking a new chapter in the GPU revolution. Our instance is here and we welcome you to take it for a spin, we have even uploaded a nice 13M row dataset to get you started. While IBM Softlayer has delivered inspired leadership to the GPU space for some time now, the importance of these next generation instances on AWS cannot be underestimated. To suggest that AWS is a juggernaut is like s... read more

Speed is increasingly defining the user experience from B2C to B2B. No matter how attractive the application, if it does not perform from a speed perspective, it might as well be ugly because that is the sentiment increasingly attached to slow, plodding applications on the web, mobile and in the enterprise. To be fair, speed comes in different flavors. There is speed from the perspective of eliminating clicks or reducing the number actions to achieve an outcome. There is... read more

This post first appeared as a byline on The Next Platform in May of 2016. Having made the improbable jump from the game console to the supercomputer, GPUs are now invading the datacenter. This movement is led by Google, Facebook, Amazon, Microsoft, Tesla, Baidu and others who have quietly but rapidly shifted their hardware philosophy over the past twelve months. Each of these companies have significantly upgraded their investment in GPU hardware and in doing so have put leg... read more

It is with great pleasure that we today announce two significant milestones for our company: the general availability of our GPU-powered database and visual analytics software platform, and the closing of a $10M Series A round led by Vanedge Capital with participation from Verizon Ventures and Nvidia, joining earlier investor GV (formerly Google Ventures). This moment means a great deal to us at MapD as it marks the public release of a technology forged from tens of thousands... read more

While we love datasets of all shapes and sizes at MapD, Twitter holds a special place in our hearts. This is perhaps because we find Twitter data to be almost peerless among public datasets in its ability to provide a glimpse into the human experience - revealing what people are saying when and where. Twitter is powerful in that it provides insight into a wide variety of social phenomena both at the level of individual tweets as well as rolled up by user, geography or topic/... read more

MapD is a next-generation data analytics platform designed to process billions of records in milliseconds using GPUs. It features a relational database backend with advanced visualization and analytic features to enable hyper-interactive exploration of large datasets. The inspiration for MapD came from our own struggles wrestling with big data, marked by frustrating encounters with tempermental clusters and overnight queries. Such "data trauma" is rampant. Even though our... read more