Today we are pleased to announce the release of 3.2.2 version of MapD. This release brings some key capabilities and performance improvements to both our interactive visual analytics client, MapD Immerse, and our GPU-accelerated SQL engine, MapD Core.
We’re excited to announce our newest addition to the MapD executive team. Aaron Williams joins us today as VP of Global Community, responsible for fostering our growing developer, user and open source communities.
This week we release version 3.1 of MapD, which comes after some truly giant news over the last few weeks, and adds a number of useful new features.
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 H2O.ai 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.
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.