More and more businesses are looking at GPU database companies to speed up their data processing times. Brytlyt stand out from the pack because the founder came from a retail analytics background and developed his GPU database to handle complex retail analytics on Big Data. Brytlyt is the first GPU database company to have the capability to run high-speed joins and other complex queries without sacrificing query speed.
In addition, Brytlyt worked closely with Nvidia, using just one of the latest DGX-2 machines to run the queries. The results were demonstrated last month at Nvidia’s annual GTC technology conference in Silicon Valley.
Brytlyt chose to use the DGX-2 for their TPC-H queries as this hardware gives Brytlyt a step change in the GPU footprint of a single server. The DGX-2 is made up of 16 Nvidia v100 GPUs WITH 32GB of VRAM. This gives a total of 512 GB of VRAM and 2 petaflops. Nvidia’s NVSwitch provides 2.4 TB/s of GPU data transfer between GPUs.
Scale factor 1,000 GB (6 billion rows in the lineitem table)
Brytlyt: 2019, DGX-2, Version 3.1 Alpha
Exasol: 2014, twenty machines, TCO $719k
Microsoft: 2017, one machine, TCO $472k
Demonstrating their ability to set new query times for the TPC-H benchmark is a measure of Brytlyt’s maturity in the GPU database space.
Some of the largest retailers in the UK and the US regularly run analytics on a 2-year Electronic Point of Sale (EPOS) dataset using a 10% sample. This sample can be 400GB with in the region of 4 billion rows. What is so relevant about Nvidia’s latest hardware is that this sample dataset can fit onto just 1 machine, and a query that might have taken up to an hour to perform in the retail environment can now be executed in seconds.
Richard Heyns is the CEO and founder of Brytlyt. He had the following comments: “We are very excited with how well Brytlyt’s GPU database performed on Nvidia’s hardware. For quite a while now, I’ve had my eye on the TPC-H benchmark, as success there proves the immense value of our product to many industry verticals including telecommunications, retail and finance. Having software that we have built, breaking records using Nvidia’s machines, is very satisfying. We are incredibly lucky to have some of the world’s finest engineers on the Brytlyt team. We have proved ourselves to be true innovators in the GPU database space.”
Brytlyt has spent the last 5 years developing and improving their software. With our own web visualisation tool, SpotLyt, data scientists and analysts can get the most out of the Brytlyt GPU database with real time analysis and interactive exploration. Spotlyt allows users to visually discover correlations and anomalies in billion row datasets in real time.