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by rscho
742 days ago
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For using a heap of libs to compute something that has been done a thousand times? No. For writing a completely new data processing pipeline from scratch? Much, much faster! Array langs have decent performance, but that's not why they are used. They are used because you develop faster for the kind of problem they're good at. People always conflate those two aspects. I use J for scientific research. |
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> real-sql(k) is consistently 100 times faster (or more) than redshift, bigquery, snowflake, spark, mongodb, postgres, ..
> same data. same queries. same hardware. anyone can run the scripts.