[blobbers]

This is the sort of FUD testing that gets thrown back and forth between companies of all kinds.

If you're in networking, it's throughput, latency or fairness. If you're in graphics its your shaders or polygons or hashes. If you're in CPUs its your clock speed. If its cameras, it's megapixels (but nobody talks about lens or real measures of clarity) If you're in silicon it's your die size (None of that has mattered for years, those numbers are like versions not the largest block on your die) If you're in finance, it's about your returns or your drawdowns or your sharpe ratios.

I'm a little bit surprised how seriously databricks is taking this, but maybe it's because one of the cofounders laid this claim. Ultimately what you find is one company is not very good at setting up the other company's system, and the result is the benchmarks are less than ideal.

So why not have a showdown? Both founders, streamed live, running their benchmarks on the data. NETFLIX SPECIAL!

[rxin]

Exactly. Not sure about Netflix special, but there are experts that have dedicated their professional careers to creating fair benchmarks. Snowflake should just participate in the official TPC benchmark.

Disclaimer: Databricks cofounder who authored the original blog post.

[AtlasLion]

The benchmark itself is kinda useless, so I don't see why they should. If you look at tpc-h for years, you had exasol as a top dog, but in the real world that meant nothing for them.

[ttmahdy]

Exactly, companies learnt from Exasol Out of the box performance is the name of the game Executing a benchmark as complex as TPC-DS without tuning by Databricks or Snowflake is a big accomplishment

[blobbers]

Come on, you're going to make a ton of money on the IPO now focus on the things that matter in life... ie: starring in a netflix special.