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.

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.

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.

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

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.

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.