4 ms·
Any comparisons with Databricks Spark. When we started experimenting with Spark, we initially used AWS EMR. But then the same code was way faster on Databricks
by whinvik 3y ago
Any comparisons with Databricks Spark. When we started experimenting with Spark, we initially used AWS EMR. But then the same code was way faster on Databricks than it was on EMR, which resulted in us ditching EMR.
- juliangamble 3y agoIt would be great to have a comparison to Dataframes and RDDs as well.
- bllchmbrs 3y agoDataFrames are just SQL. There will be no performance difference. RDDs will be worse, so it shouldn't matter. No vectorization, no column processing, lots of serialization and de-serialization. They're basically always slower than DataFrames barring some strange use case.
- esafak 3y agoGot numbers?
- AdamProut 3y agoDatabricks has kept their Photon[1][2] query engine for Spark closed sourced thus far. Unless EMR has made equivalent changes to the Spark runtime they use Databricks should be much faster. Photon brings the standard vectorized execution techniques used in SQL data warehouses for many years to Spark. [1] https://docs.databricks.com/en/clusters/photon.html https://docs.databricks.com/en/clusters/photon.html [2] https://dl.acm.org/doi/10.1145/3514221.3526054 https://dl.acm.org/doi/10.1145/3514221.3526054
- whinvik 3y agoI am a bit hazy about the exact details of how we did it since its been some time, but we definitely did not use Photon as it was too expensive. One of the issues was that we started experimenting with Delta Tables and EMR was horrible in leveraging that.