Today’s launch of MapD Cloud includes two methods for importing data: transfering from an AWS S3 bucket, or uploading from a local text-delimited file.

With the help of Apache Arrow, an efficient data interchange is created between MapD, pygdf, and machine learning hardware acceleration tools such as h2o.ai, PyTorch, and others.

Have you felt limited by the capabilities of Google Analytics standard user interface?

Our CEO, Todd Mostak, recently completed a European roadshow with Jim McHugh, NVIDIA Vice President and General Manager of AI Systems. They traveled to Munich, London and Paris to talk about the GPU-accelerated analytics ecosystem. It was a preview of what to expect at the GPU Technology Conference in Silicon Valley, March 26-29, 2018.

We’re happy to announce the public availability of MapD version 3.5. While the primary work in this release focused on stability and bug fixes, we also have some key new features in both MapD Core and MapD Immerse that we are excited to make available to our users.

In just a few weeks, over 3,000 people will gather for the Gartner Data & Analytics Summit 2018 in Grapevine, Texas. Schedule a Meeting With Us!

Every day, people tell us that they love MapD. And we love all of those people. We’re proud to consider all of them part of our community.

Today, we are excited to launch our new positioning for MapD - the Extreme Analytics Platform™, along with a brand new website. This has been a fun, challenging and detailed project.

I asked the audience a pressing question at the Quandl Alternative Data Conference last week: "How many of you know you can do more with GPUs than just play Doom or Quake?" The crowd laughed as they raised their hands. The word is getting out. GPUs aren't just for video games anymore. They've already revolutionized AI. Now they're transforming analytics.

On behalf of all of us here at MapD, I invite you to help us help you, by completing our first survey on the needs of community members.