What’s the point of learning Spark if you can do almost everything in Snowflake and BigQuery?

Serious question. At my work we’ve migrated almost all of our spark data engineering and ML pipelines to BigQuery, and it was really simple. With the added overhead of cluster management, and near feature parity, what’s the point of leveraging Spark anymore other than it being open source?

bigquery cluster data data engineering datascience engineering everything feature management ml pipelines near pipelines simple snowflake spark work