[Pils]

Having worked with a team using Snowpark, there are a couple things that bother me about it as a platform. For example, it only supported Python 3.8 until 3.9/10 recently entered preview mode. It feels a bit like a rushed project designed to compete with Databricks/Spark at the bullet point level, but not quite at the same quality level.

But that's fine! It has only existed for around a year in public preview, and appears to be improving quickly. My issue was with how aggressively Snowflake sales tried to push it as a production-ready ML platform. Whenever I asked questions about version control/CI, model versioning/ops, package managers, etc. the sales engineers and data scientists consistently oversold the product.

[disgruntledphd2]

Yeah it's definitely not ready for modelling. It's pretty rocking for ETL though, and much easier to test and abstract than regular SQL. Granted it's a PySpark clone but our data is already in Snowflake.