ttmahdy

5 ms·

1. 1.▲
   by ttmahdy 5y ago

   With Snowflake data is locked away in a proprietary format not accessible by other compute platforms. You need to export/copy your data to a different system to train an ML model in python or R. With the Databricks, you can use python,
2. 2.▲
   by ttmahdy 5y ago

   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
3. 3.▲
   by ttmahdy 5y ago

   Usually making a 1 ms query execute in 0.5 ms is a lot harder than making a 10 second query execute in 5 second. One of the benefits of geometric mean is that all queries have "equal" weight in the metric, this keeps vendors from
4. 4.▲
   by ttmahdy 5y ago

   The TPC audit process tends to be thorough and strict. Possibly you missed a configuration that was included in the Full Disclosure Report or Supporting Files? The Databricks official, audited benchmark was executed against Databricks SQL w