“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
THE AI DATA CLOUD
Snowpark
Set of libraries and code execution environments that run Python and other programming languages next to your data in Snowflake.
Language of Choice on a Single Platform
Bring your Python and other programming code to the governed data in Snowflake.
Scalability without Operational Complexity
Elastic scalability without maintenance or overhead.
No Governance and Security Tradeoffs
Consistent, enterprise-grade governance controls & security.
Snowpark API
Write queries and transform data using DataFrames modeled after Spark or scalable pandas (public preview).
Snowpark ML API
Use this Python library to access unified APIs for model and feature development and operations across the entire ML lifecycle in Snowflake ML.
Python, Java, Scala
Write and execute custom Python, Java and Scala code using user-defined functions and stored procedures. Leverage built-in packages from the Anaconda repo.
Snowpark Container Services
Register, deploy and run container images (public preview) in Snowflake-managed infrastructure.
Snowpark for Data Engineering
Use Python to transform raw data into modeled formats for data pipelines
Snowpark Price Performance: Customer Results
Customers see an average of 4.6x faster performance and 35% cost savings with Snowpark over managed Spark.1
Scalable Data Pipelines
Transformations on data connected to your data lake, warehouse, or Iceberg tables in Snowflake.
Snowparkfor ML
Build and operationalize end to end ML workflows using Snowpark ML
Snowpark ML
Use Python frameworks, such as Scikit-learn and XGBoost, for preprocessing, feature engineering, and training models that can be deployed and managed in Snowflake ML without data movement.
Snowpark Container Services
Build ML models and Gen AI LLMs in any programming language, package as a container image and deploy in configurable CPUs & GPUs for ultimate developer flexibility.
Over 50% of Snowflake customers use Snowpark on a weekly basis*. Snowpark customers include:
*As of April 2024
“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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1Based on customer production use cases and proof-of-concept exercises comparing the speed and cost for Snowpark versus managed Spark services between Nov 2022 and Jan 2024. All findings summarize actual customer outcomes with real data and do not represent fabricated datasets used for benchmarks.