
“We wanted to switch to Snowpark for performance reasons and it was so easy to do. Converting our PySpark code to Snowpark was as simple as a change in an import statement.”
Principal Data Engineer
Homegenius
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Snowpark Explained
Bring your Spark, Python and other programming code to the governed data in Snowflake.
Elastic scalability without maintenance or overhead.
Consistent, enterprise-grade governance controls & security.
Familiar pandas API for flexible data transformation and analytics
Write and operationalize custom code
Run Apache Spark DataFrames, SQL and UDFs for processing
Use Python to transform raw data into modeled formats for data pipelines
Customers see an average of 4.6x faster performance and 35% cost savings with Snowpark over managed Spark.¶
Transformations on data connected to your data lake, warehouse, or Iceberg tables in Snowflake.
“Being able to run data science tasks, such as feature engineering, directly where the data sits is massive. It’s made our work a lot more efficient and a lot more enjoyable.”
Data Science Lead
EDF
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¶ Based on customer production use cases and proof-of-concept exercises comparing the speed and cost for Snowpark versus managed Spark services between November 2022 and May 2025. All findings summarize actual customer outcomes with real data and do not represent fabricated datasets used for benchmarks.
2 As of April 2024