Category: MapD
MapD Open Sources GPU-Powered Database

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: Todd Mostak. 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, enabling sub-second querying across many ... Read More
MapD 3.0 – Bringing distributed scale-out to GPU analytics

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: Ed O'Donnell. We’re very happy to announce that with today’s release of version 3.0 of the MapD Analytics Platform we're bringing GPU-accelerated analytics onto distributed clusters!We’ve been hard at work for months to extend the unique advantages of our SQL-compliant GPU database from being able to run on one server to now being able to scale across multiple servers, allowing our customers to take on even larger datasets while still maintaining the fluid, instant data exploration experience which we’ve become known for. Check out our distributed ... Read More
Quick Insight with MapD Immerse Cross Filtering

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: Tai Dupree. The MapD Immerse visual analytics client has a core feature we refer to as crossfilter, which allows a filter applied to one chart to simultaneously be applied to the rest of the charts on a dashboard. This provides a natural interface for data exploration, allowing a multi-dimensional view of data even as a user drills deep into a dataset. From a technical perspective, crossfiltering is not difficult (on the surface). Behind each Immerse chart is a SQL statement. When an element on the chart ... Read More
MapD Raises $25M Series B to Drive Adoption of GPU-Powered Analytics

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: Todd Mostak. 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 are clear signs this is already happening. Look no further than ... Read More
The Forest AND the Trees

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: Eric Kontargyris. Organizations are visualizing and exploring data in ways we once only associated with science fiction films. Analysts live a world with access to a plethora of data visualization and reporting tools. Long gone are the days of Excel charting as the primary means for visualizing data. As the toolkit has evolved, the amount of data we collect and analyze has exploded. Websites and phone apps track a user’s every click or swipe. IoT devices record the location of every vehicle in the fleet. Cell ... Read More
Using Python for data visualization with MapD Core

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: Sandhya Krishnamurthy. Creating charts in the MapD framework can happen in a number of different ways. All of them involve our hyper-fast GPU-powered, SQL-compliant, relational database, MapD Core. To start with MapD Immerse has a large library of standard charts to choose from as you build your dashboards. These include line, bar, pie, histograms, chloropleths, scatter plots and point maps. One can also use MapD’s published API to create entirely custom front ends on top of MapD Core. Finally, using ODBC, JDBC or Thrift, users can ... Read More
Release feature focus: Lassoing data insights with the lasso tool

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: Ed O'Donnell. We felt it wasn’t fair that only features in our major releases were getting the limelight, so this will be the first in a series of short blog posts featuring an interesting feature or improvement in our regular minor releases of MapD’s GPU-accelerated Core database and Immerse visualization software.This week, we celebrate the addition to Immerse of a tool known to cowboys and data analysts across the land: the lasso tool. Named after the looped rope which tamed the West, the lasso tool allows ... Read More
Fast and Flexible Query Analysis at MapD with Apache Calcite

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: Alex Şuhan. Back when we started the current incarnation of the MapD Core database, we wrote our own parser (written using flex and GNU bison), semantic analysis and optimizer. This approach offers the most control since everything in the pipeline can be adjusted to the unique needs of our system, but we've realized that our main strength lies in the actual execution of the queries. In the context of the limited resources of a startup, we have to pick our battles.We soon faced a dilemma: are ... Read More
MapD 2.0 – Under the hood with the MapD Core GPU database and Iris Rendering Engine

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: Ed O'Donnell. Continuing where we left off in our earlier post on MapD 2.0’s Immerse visualization client, today we want to walk you through some of version 2.0’s major improvements to our GPU-accelerated Core database and Iris Rendering Engine.Before we delve into the details, main themes for this release are: speed, robustness, and further visual analytics power. Our system is able to steadily deliver extremely fast query speeds across a larger set of SQL queries and when analyzing datasets of daunting size. On the visual analytics ... Read More
Tips, Tricks + Tasks for the 1.2 Billion Row Taxi Dataset

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: MapD Team. The taxi dataset is one of the most popular on our site and for good reason, it is not often that you can get behind the wheel of a supercomputer for free. Still, without direction, it can be hard to uncover the insights in the data that often give our audiences a rush. With that in mind we will be creating a series of these “cheatsheets” to help you grasp the power of speed at scale. Each post will talk about how to interact ... Read More
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