1.1B Taxi Rides with 20 Nvidia Tesla P100s and BrytlytDB

Re:1.1B Taxi Rides with 20 Nvidia Tesla P100s and BrytlytDB by ruw1090 on Wednesday December 13, 2017 @10:48AM (#15914950)

The other thing that is misleading about this benchmark is that the comparison page shows results for many different DBs on vastly different hardware without any mention of price. It would be much more valuable if it attempted to normalize performance results by hardware cost.

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Re:1.1B Taxi Rides with 20 Nvidia Tesla P100s and BrytlytDB by srcmap on Wednesday December 13, 2017 @11:37AM (#15915304)

"There is half a terabyte of DDR4 RAM on each machine."

I also wonder how much of the speed up is due to the GPU parallelization vs the DB size seem to fit within the size of DDR4.

   " 0.005 	0.011 	0.103 	0.188 	BrytlytDB 2.1 & 5-node IBM Minsky cluster" NVME 

    "1.034 	3.058 	5.354 	12.748 	ClickHouse, Intel Core i5 4670K"  SSD

The core i5 system only has 16GB of RAM. I love to see what that number would looks like if it also has 512GB or more of DDR4 with NVME drive.

Also one can also try increase to data size from 1.1 B -> 1000B and see how it scale on Minsky cluster.

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Re:1.1B Taxi Rides with 20 Nvidia Tesla P100s and BrytlytDB by azureel on Wednesday December 13, 2017 @11:50AM (#15915404)

I agree, single node Vertica vs $50k cluster Brytlyt is not really a meaningful versus.

http://tech.marksblogg.com/billion-nyc-taxi-vertica.html

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Re:1.1B Taxi Rides with 20 Nvidia Tesla P100s and BrytlytDB by marklit on Wednesday December 13, 2017 @10:54AM (#15914996)

I've avoided going down this rabbit hole. Staff costs can outweigh software and hardware in some cases. Hiring someone that knows kdb+/q could cost a fair bit more than someone who only has some PostgreSQL experience.

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