pgv's comments

On: 1.1B Taxi Rides with 20 Nvidia Tesla P100s and BrytlytDB

[pgv]

Happy to answer any questions about Brytlyt GPU Database and this benchmark. Palvi Gulati Verma, Director of Marketing, Brytlyt palvi.gulativerma@brytlyt.com

[znpy → pgv]

It would have been nice to have at least an approximation of how much such a cluster would cost to buy or rent.

[UncleEntity → znpy]

Quick google search says ~50k per node.

https://www.nextplatform.com/2016/09/08/refreshed-ibm-power-...

On: 1.1B Taxi Rides with BrytlytDB 2.1 and 20 Nvidia Telsa P100s

[pgv]

Thanks Mark for conducting the benchmark. We are really excited to smash the benchmark again and come out 4 times faster than other vendors.

On: 1.1B Taxi Rides with BrytlytDB 2.1 and a 5-node IBM Minsky Cluster

[pgv]

Thanks for doing the benchmarking Mark. We are excited to once again smash the benchmark by a factor of 4 over other GPU Database vendors.

On: GPU Database Brytlyt Launches Visualization Tool for Billion Row Datasets

[pgv]

Just want to let you that independent benchmarking has now shown Brytlyt to be the fastest GPU Database ever: http://tech.marksblogg.com/billion-nyc-taxi-rides-p2-16xlarg...

On: GPU Database Brytlyt Launches Visualization Tool for Billion Row Datasets

[pgv]

Just want to let you that independent benchmarking has now shown Brytlyt to be the fastest GPU Database ever: http://tech.marksblogg.com/billion-nyc-taxi-rides-p2-16xlarg...

On: 1.1B Taxi Trips on BrytlytDB 2.0

[pgv]

So proud that Brytlyt is officially the fastest GPU Database in the world.

On: GPU Database Brytlyt Launches Visualization Tool for Billion Row Datasets

[pgv]

Hey Rkwasny, We believe the usefulness of open source to the end user really depends on the maturity of the product. Open source is great once the product is mature. But if the product is relatively new then end users are exposed to all the issues inherent in immature software without the support intrinsic to proprietary software. To balance this, we have a free community edition that contains all the features of our fully supported enterprise edition.

On: GPU Database Brytlyt Launches Visualization Tool for Billion Row Datasets

[pgv]

We are Brytlyt are happy to answer any questions you may have about SpotLyt, our new visual analytics tool for Real-Time analysis of Billion Row Data Sets.

On: Business Reporter: How to get more value from data by using GPU databases

[pgv]

Brytlyt's CEO, Richard Heyns, was recently interviewed by Business Reporter to discuss the options available today for companies looking to get real-time insights and extract huge value from their data assets by using GPU-powered databases. Here's the video and article in its entirety.

On: A Guide on how to find a GPU Database that’s just right for you

[pgv]

Nested queries are great but I am far more interested in the other features mentioned. I could be wrong but I as far as I am aware MapD, Kinetica and SQream don't have all of these covered?

[arnon → pgv]

Some do, some don't. It's not as simplistic as that.

Saying "Do you need a large amount of Data?" and then saying not to use GPU databases ignores SQream's experience in managing more than 1PB of data, and Kinetica's experience in clustering multi-TB machines.

[pgv → arnon]

I thought the flow diagram was promoting the use of GPUs for large datasets... Brytlyt is a GPU database right?